About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/25/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
Senior Staff Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/25/2026
Full time
Senior Staff Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/25/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Opportunity We are seeking a talented and motivated Senior Software Development Engineer to join our Payments Products Development team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our platforms. You will quickly grasp and evaluate new ideas and technologies from internal and external sources, then match them to emerging technology and business opportunities while helping build a culture of innovation and engineering excellence. Essential Functions: AI-Enabled Innovative Development: Design, develop, and implement innovative software solutions using generative AI, conversational AI, RAG, and modern integration patterns. Explore new technologies and translate relevant ideas into secure, scalable business solutions. AI System Engineering: Design and integrate AI components into larger platforms, including data preparation, model evaluation, deployment, monitoring, and continuous improvement. Address robustness, quality, security, and operational reliability throughout the lifecycle. Collaborative Engineering: Collaborate with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and Product Development teams. Continuous Learning: Actively expand knowledge of generative AI, machine learning, modern engineering practices, and emerging technologies. Share learning with peers and contribute to team growth. Client-Focused Solutions: Develop solutions with a client-centric mindset, ensuring Payment Product platforms deliver exceptional value and innovation. Use client feedback to refine and improve offerings. API and Integration Development: Contribute to the design and development of APIs that enhance integration across Payment Product applications, platforms, AI services, and solutions. Technology Modernization: Advance the modernization roadmap by adopting best-in-class technology solutions for core platforms, expanding market reach and client impact. Process Improvement: Continuously improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time to market, including responsible use of AI-assisted engineering tools. Engineering Excellence: Follow industry best practices in software development, emphasizing quality, security, performance, scalability, availability, resilience, and reduction of technical debt. Automation and Best Practices: Automate software development, testing, deployment, and maintenance processes. Use AI-generated outputs as accelerators while applying rigorous engineering review and verification. Incident and Change Management: Support incident, change, and problem management processes. Participate in root-cause analysis and troubleshooting to sustain high availability and service reliability. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Expert-level skills in Java, Python, and Node.js; experience with C++ or C# is a plus. Experience building Generative AI applications, conversational AI solutions, retrieval-augmented generation (RAG) architectures, and related techniques, tools, and libraries. Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Self-driven, adaptable, and willing to work across technologies and programming languages. Strong understanding of natural language processing concepts, including tokenization, word embeddings, and sequence models. Proficiency implementing and fine-tuning AI and machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of machine learning and deep learning fundamentals, including neural network architectures, training procedures, transfer learning, model compression, and associated trade-offs. Ability to design, implement, and integrate AI components into larger enterprise systems. Familiarity with common robustness, reliability, security, and responsible-use considerations in AI systems. Experience working with large datasets, exploratory data analysis, data preprocessing, feature engineering, and model evaluation techniques. Exposure to leading-edge areas such as machine learning, deep learning, stream computing, MLOps, and modern AI integration patterns. Proficiency in front-end web development technologies such as React, Angular, and Node.js. Experience configuring build and deployment systems such as Docker, Jenkins, and Kubernetes. Expertise in multithreading, concurrency, and error handling. Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing enterprise-scale components. Knowledge of version control, CI/CD pipelines, and best practices for application and ML model deployment. Working knowledge of distributed in-memory computing technologies such as Redis. Understanding of enterprise security, certificate management, and related practices. Hands-on experience with Jenkins and container deployment architecture. Experience with OAuth 2.0, SSO, and authentication methods or protocols. Expertise in application security, SSDLC, and cryptography fundamentals. Experience applying AI-assisted engineering practices while independently validating generated code, tests, documentation, and technical recommendations. Experience in the payments technology industry is a plus. The Skills You Bring: Energy and Experience: A growth mindset, curiosity about technology, and enthusiasm for challenging projects on a global scale. Challenge the Status Quo: Comfort pushing boundaries and exploring solutions beyond traditional approaches. Language Expertise: Expertise in one or more development languages such as Java, Python, Node.js, C#, or C++. AI Builder: Experience building and deploying Generative AI, conversational AI, RAG, machine learning, modern services, and web applications with quality and scalability. Critical AI Judgment: Ability to evaluate AI-generated code and recommendations, identify failure modes, and apply independent engineering judgment. Learner: A consistent drive to learn technologies such as GenAI, machine learning, Angular, React, Kubernetes, and Docker. Partnership: Experience collaborating with Product, Test, DevOps, Cybersecurity, and Agile/Scrum teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $112,100 to $204,000 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/25/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Opportunity We are seeking a talented and motivated Senior Software Development Engineer to join our Payments Products Development team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our platforms. You will quickly grasp and evaluate new ideas and technologies from internal and external sources, then match them to emerging technology and business opportunities while helping build a culture of innovation and engineering excellence. Essential Functions: AI-Enabled Innovative Development: Design, develop, and implement innovative software solutions using generative AI, conversational AI, RAG, and modern integration patterns. Explore new technologies and translate relevant ideas into secure, scalable business solutions. AI System Engineering: Design and integrate AI components into larger platforms, including data preparation, model evaluation, deployment, monitoring, and continuous improvement. Address robustness, quality, security, and operational reliability throughout the lifecycle. Collaborative Engineering: Collaborate with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and Product Development teams. Continuous Learning: Actively expand knowledge of generative AI, machine learning, modern engineering practices, and emerging technologies. Share learning with peers and contribute to team growth. Client-Focused Solutions: Develop solutions with a client-centric mindset, ensuring Payment Product platforms deliver exceptional value and innovation. Use client feedback to refine and improve offerings. API and Integration Development: Contribute to the design and development of APIs that enhance integration across Payment Product applications, platforms, AI services, and solutions. Technology Modernization: Advance the modernization roadmap by adopting best-in-class technology solutions for core platforms, expanding market reach and client impact. Process Improvement: Continuously improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time to market, including responsible use of AI-assisted engineering tools. Engineering Excellence: Follow industry best practices in software development, emphasizing quality, security, performance, scalability, availability, resilience, and reduction of technical debt. Automation and Best Practices: Automate software development, testing, deployment, and maintenance processes. Use AI-generated outputs as accelerators while applying rigorous engineering review and verification. Incident and Change Management: Support incident, change, and problem management processes. Participate in root-cause analysis and troubleshooting to sustain high availability and service reliability. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Expert-level skills in Java, Python, and Node.js; experience with C++ or C# is a plus. Experience building Generative AI applications, conversational AI solutions, retrieval-augmented generation (RAG) architectures, and related techniques, tools, and libraries. Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Self-driven, adaptable, and willing to work across technologies and programming languages. Strong understanding of natural language processing concepts, including tokenization, word embeddings, and sequence models. Proficiency implementing and fine-tuning AI and machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of machine learning and deep learning fundamentals, including neural network architectures, training procedures, transfer learning, model compression, and associated trade-offs. Ability to design, implement, and integrate AI components into larger enterprise systems. Familiarity with common robustness, reliability, security, and responsible-use considerations in AI systems. Experience working with large datasets, exploratory data analysis, data preprocessing, feature engineering, and model evaluation techniques. Exposure to leading-edge areas such as machine learning, deep learning, stream computing, MLOps, and modern AI integration patterns. Proficiency in front-end web development technologies such as React, Angular, and Node.js. Experience configuring build and deployment systems such as Docker, Jenkins, and Kubernetes. Expertise in multithreading, concurrency, and error handling. Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing enterprise-scale components. Knowledge of version control, CI/CD pipelines, and best practices for application and ML model deployment. Working knowledge of distributed in-memory computing technologies such as Redis. Understanding of enterprise security, certificate management, and related practices. Hands-on experience with Jenkins and container deployment architecture. Experience with OAuth 2.0, SSO, and authentication methods or protocols. Expertise in application security, SSDLC, and cryptography fundamentals. Experience applying AI-assisted engineering practices while independently validating generated code, tests, documentation, and technical recommendations. Experience in the payments technology industry is a plus. The Skills You Bring: Energy and Experience: A growth mindset, curiosity about technology, and enthusiasm for challenging projects on a global scale. Challenge the Status Quo: Comfort pushing boundaries and exploring solutions beyond traditional approaches. Language Expertise: Expertise in one or more development languages such as Java, Python, Node.js, C#, or C++. AI Builder: Experience building and deploying Generative AI, conversational AI, RAG, machine learning, modern services, and web applications with quality and scalability. Critical AI Judgment: Ability to evaluate AI-generated code and recommendations, identify failure modes, and apply independent engineering judgment. Learner: A consistent drive to learn technologies such as GenAI, machine learning, Angular, React, Kubernetes, and Docker. Partnership: Experience collaborating with Product, Test, DevOps, Cybersecurity, and Agile/Scrum teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $112,100 to $204,000 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
Description : The Senior Manager, Commercial Analytics & Business Intelligence, is a pivotal, hands-on leader within the Commercial Operations function as DBV-Technologies prepares for its first U.S. commercial launch in Peanut Allergy. Reporting to the Head of Commercial Operations & Analytics, this individual will help design and build the commercial analytics engine from the ground up - the dashboards, data pipelines, KPIs, and insights that turn a first-launch biotech into a decision-ready organization. In a first-launch environment, analytics is not a back-office reporting function - it is a core strategic capability. Every targeting decision, segmentation model, incentive plan, and performance review depends on trustworthy data and sharp interpretation. This role sits at the intersection of business strategy, advanced analytics, and commercial execution, serving as a key partner to Marketing, Sales Leadership, Market Access, Forecasting, Finance, and Executive Leadership. The insights this individual produces will directly shape how the organization launches, learns, and refines its go-to-market model. The ideal candidate pairs deep technical fluency - advanced SQL, strong Python, modern BI, and applied AI - with the business acumen and executive communication skills to influence senior stakeholders without formal authority. This is deliberately not a reporting-only profile: we are looking for a builder who is equally comfortable architecting a data model, engineering an automated pipeline, and standing in front of leadership to tell the story the numbers reveal. Location : Warren, New Jersey - minimum 3 days on site Salary Range : $150-180k Key Responsibilities : Analytics, Reporting & Performance Management • Design, build, and maintain commercial analytics, reporting, dashboards, KPIs, and performance-management processes that give leadership a real-time view of launch performance against plan. • Develop KPI scorecards, trend analyses, and variance reporting for business performance reviews with senior leadership. • Translate complex, multi-source analyses into clear, actionable recommendations for executive decision-making. Data Sources & Commercial Insights • Develop insights from pharmaceutical patient, prescriber, claims, specialty pharmacy, hub, and market access data sources, integrating disparate feeds into coherent business narratives. • Build and maintain the analytical layer connecting Xponent, LAAD, claims, specialty pharmacy/hub, and payer data into usable, trustworthy assets. Launch Planning, Targeting & Field Effectiveness • Support launch planning through HCP-level targeting, segmentation, and call-plan analytics that focus field resources where they matter most. • Provide incentive compensation (IC) analytics and field force effectiveness measurement, quantifying the relationship between promotional activity and downstream prescribing. • Evaluate targeting and segmentation model performance post-launch and recommend refinements based on observed results. Forecasting, Finance & Scenario Analysis • Partner with Forecasting and Finance to evaluate business scenarios, performance drivers, and resource-allocation trade-offs. • Provide analytical support that connects performance data to budget cycles, long-range planning, and executive reporting. Data Governance & Best Practices • Drive data governance, documentation standards, and analytical best practices so the organization's data assets are reliable, compliant, and reusable. • Build scalable, automated pipelines and reporting to reduce manual effort and increase speed and accuracy. AI & Advanced Analytics • Identify high-value AI use cases and translate them into measurable business outcomes, applying LLMs, generative and agentic AI, and automation to improve commercial processes and decision-making. • Apply traditional machine learning and statistical methods (predictive modeling, segmentation, propensity) where they add commercial value. Qualifications : Required • 8-10 years of progressive experience in pharmaceutical analytics, commercial operations, business intelligence, or a closely related field. • Advanced SQL proficiency, with the ability to write, optimize, and maintain complex queries against large commercial datasets. • Strong Python skills for data engineering, automation, analytics, and predictive modeling. • Hands-on experience with BI and visualization platforms such as Power BI, Tableau, or similar tools. • Demonstrated experience with pharmaceutical commercial datasets, including IQVIA Xponent, IQVIA LAAD, claims data, specialty pharmacy and hub data, market access / payer data, and HCP-level targeting and segmentation datasets. • Demonstrated success supporting pharmaceutical product launches, including targeting, segmentation, IC analytics, and field force effectiveness. • Exceptional executive communication and storytelling skills, with a proven ability to influence cross-functional stakeholders without formal authority. • Comfort operating in a fast-paced, ambiguous, prelaunch environment, balancing strategic thinking with hands-on execution. • Bachelor's degree required, preferably in a quantitative discipline (Statistics, Economics, Mathematics, Engineering, Life Sciences, or related field). Preferred • Experience supporting specialty, immunology, allergy, rare disease, or biologic product launches. • Familiarity with cloud-based analytics environments and modern data architectures (e.g., AWS, Azure, Databricks, Snowflake). • Experience applying AI within commercial pharmaceutical organizations - including LLMs, generative AI, agentic AI, and automation tooling. • Experience with statistical analysis, predictive analytics, and data science methodologies. • Experience within emerging biotech companies or resource-constrained, high-growth environments. • Advanced degree (MBA, MS, or PhD) in a quantitative or business discipline. Behavioral skills : Curiosity: Keep on exploring uncharted territories. Always ask "why?" and more importantly "why not?", Courage: Take smart risks, mentor each other to always do better & be accountable for our choices, our opinions, and our actions, Collaboration: Teamwork and spirit. Support each other and be equally involved in the achievement of our common goals, Credibility: Be transparent, follow through and build trust. Educate ourselves about our unique technology.
09/25/2026
Full time
Description : The Senior Manager, Commercial Analytics & Business Intelligence, is a pivotal, hands-on leader within the Commercial Operations function as DBV-Technologies prepares for its first U.S. commercial launch in Peanut Allergy. Reporting to the Head of Commercial Operations & Analytics, this individual will help design and build the commercial analytics engine from the ground up - the dashboards, data pipelines, KPIs, and insights that turn a first-launch biotech into a decision-ready organization. In a first-launch environment, analytics is not a back-office reporting function - it is a core strategic capability. Every targeting decision, segmentation model, incentive plan, and performance review depends on trustworthy data and sharp interpretation. This role sits at the intersection of business strategy, advanced analytics, and commercial execution, serving as a key partner to Marketing, Sales Leadership, Market Access, Forecasting, Finance, and Executive Leadership. The insights this individual produces will directly shape how the organization launches, learns, and refines its go-to-market model. The ideal candidate pairs deep technical fluency - advanced SQL, strong Python, modern BI, and applied AI - with the business acumen and executive communication skills to influence senior stakeholders without formal authority. This is deliberately not a reporting-only profile: we are looking for a builder who is equally comfortable architecting a data model, engineering an automated pipeline, and standing in front of leadership to tell the story the numbers reveal. Location : Warren, New Jersey - minimum 3 days on site Salary Range : $150-180k Key Responsibilities : Analytics, Reporting & Performance Management • Design, build, and maintain commercial analytics, reporting, dashboards, KPIs, and performance-management processes that give leadership a real-time view of launch performance against plan. • Develop KPI scorecards, trend analyses, and variance reporting for business performance reviews with senior leadership. • Translate complex, multi-source analyses into clear, actionable recommendations for executive decision-making. Data Sources & Commercial Insights • Develop insights from pharmaceutical patient, prescriber, claims, specialty pharmacy, hub, and market access data sources, integrating disparate feeds into coherent business narratives. • Build and maintain the analytical layer connecting Xponent, LAAD, claims, specialty pharmacy/hub, and payer data into usable, trustworthy assets. Launch Planning, Targeting & Field Effectiveness • Support launch planning through HCP-level targeting, segmentation, and call-plan analytics that focus field resources where they matter most. • Provide incentive compensation (IC) analytics and field force effectiveness measurement, quantifying the relationship between promotional activity and downstream prescribing. • Evaluate targeting and segmentation model performance post-launch and recommend refinements based on observed results. Forecasting, Finance & Scenario Analysis • Partner with Forecasting and Finance to evaluate business scenarios, performance drivers, and resource-allocation trade-offs. • Provide analytical support that connects performance data to budget cycles, long-range planning, and executive reporting. Data Governance & Best Practices • Drive data governance, documentation standards, and analytical best practices so the organization's data assets are reliable, compliant, and reusable. • Build scalable, automated pipelines and reporting to reduce manual effort and increase speed and accuracy. AI & Advanced Analytics • Identify high-value AI use cases and translate them into measurable business outcomes, applying LLMs, generative and agentic AI, and automation to improve commercial processes and decision-making. • Apply traditional machine learning and statistical methods (predictive modeling, segmentation, propensity) where they add commercial value. Qualifications : Required • 8-10 years of progressive experience in pharmaceutical analytics, commercial operations, business intelligence, or a closely related field. • Advanced SQL proficiency, with the ability to write, optimize, and maintain complex queries against large commercial datasets. • Strong Python skills for data engineering, automation, analytics, and predictive modeling. • Hands-on experience with BI and visualization platforms such as Power BI, Tableau, or similar tools. • Demonstrated experience with pharmaceutical commercial datasets, including IQVIA Xponent, IQVIA LAAD, claims data, specialty pharmacy and hub data, market access / payer data, and HCP-level targeting and segmentation datasets. • Demonstrated success supporting pharmaceutical product launches, including targeting, segmentation, IC analytics, and field force effectiveness. • Exceptional executive communication and storytelling skills, with a proven ability to influence cross-functional stakeholders without formal authority. • Comfort operating in a fast-paced, ambiguous, prelaunch environment, balancing strategic thinking with hands-on execution. • Bachelor's degree required, preferably in a quantitative discipline (Statistics, Economics, Mathematics, Engineering, Life Sciences, or related field). Preferred • Experience supporting specialty, immunology, allergy, rare disease, or biologic product launches. • Familiarity with cloud-based analytics environments and modern data architectures (e.g., AWS, Azure, Databricks, Snowflake). • Experience applying AI within commercial pharmaceutical organizations - including LLMs, generative AI, agentic AI, and automation tooling. • Experience with statistical analysis, predictive analytics, and data science methodologies. • Experience within emerging biotech companies or resource-constrained, high-growth environments. • Advanced degree (MBA, MS, or PhD) in a quantitative or business discipline. Behavioral skills : Curiosity: Keep on exploring uncharted territories. Always ask "why?" and more importantly "why not?", Courage: Take smart risks, mentor each other to always do better & be accountable for our choices, our opinions, and our actions, Collaboration: Teamwork and spirit. Support each other and be equally involved in the achievement of our common goals, Credibility: Be transparent, follow through and build trust. Educate ourselves about our unique technology.
Citizenship Requirement: Must be a U.S. Citizen Clearance Requirement: TS/SCI clearance with polygraph Job Description: IntelliGenesis is seeking a Senior AI Engineer to lead the design, development, and deployment of production-grade AI systems supporting mission-critical intelligence operations. This role focuses on transitioning AI/ML capabilities from concept to operational environments, including classified and resource-constrained settings. A day in the life includes architecting scalable AI pipelines, deploying models to edge and cloud environments, integrating AI into cybersecurity workflows, and mentoring junior engineers. You will work closely with cyber operators, software engineers, and infrastructure teams to deliver impactful, real-world AI capabilities-not just research prototypes. The team dynamic is highly collaborative and mission-driven, consisting of AI engineers, cyber SMEs, and platform engineers working in agile sprints. This role serves as a technical leader and mentor, guiding best practices in MLOps, DevSecOps, and secure AI deployment. Lead end-to-end AI system design, development, and deployment Architect and implement scalable MLOps pipelines for training, validation, and deployment Deploy AI/ML models to cloud, on-prem, and edge environments Integrate AI capabilities into cybersecurity tools and operational workflows Ensure system security, including adversarial robustness and secure model deployment Collaborate with cross-functional teams (cyber, infrastructure, software engineering) Mentor mid-level engineers and provide technical oversight Rapidly prototype AI solutions and transition them into production systems Ensure compliance with DoD Risk Management Framework (RMF) requirements Required Qualifications: Must be a U.S. Citizen Active TS/SCI Clearance and Polygraph required 8+ years of experience in AI/ML engineering, software engineering, or related field Bachelor's degree in Computer Science, Engineering, or related field Strong experience deploying AI/ML models into production environments Expertise in Python and at least one additional language (e.g., C++, Go) Experience with MLOps tools (e.g., Kubernetes, Docker, MLflow, Kubeflow, VMWare, Tanzu) Experience with cloud and hybrid infrastructure (AWS, Azure, or DoD cloud environments) Knowledge of DevSecOps and infrastructure-as-code (e.g., Terraform, Ansible) Experience with model serving, monitoring, and lifecycle management Familiarity with cybersecurity concepts and secure system design Experience working in classified or regulated environments (DoD/IC preferred) Desired Qualifications: Master's degree Experience with adversarial machine learning and AI security Background in cyber operations or network traffic analysis Experience deploying models in edge or disconnected environments Familiarity with large language models (LLMs) and generative AI systems Knowledge of secure enclaves and confidential computing Prior experience supporting DoD or Intelligence Community missions Relevant certifications (e.g., AWS Certified Solutions Architect, Security+, CISSP) Compensation Range: $215,000 - $245,000 _ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.
09/25/2026
Full time
Citizenship Requirement: Must be a U.S. Citizen Clearance Requirement: TS/SCI clearance with polygraph Job Description: IntelliGenesis is seeking a Senior AI Engineer to lead the design, development, and deployment of production-grade AI systems supporting mission-critical intelligence operations. This role focuses on transitioning AI/ML capabilities from concept to operational environments, including classified and resource-constrained settings. A day in the life includes architecting scalable AI pipelines, deploying models to edge and cloud environments, integrating AI into cybersecurity workflows, and mentoring junior engineers. You will work closely with cyber operators, software engineers, and infrastructure teams to deliver impactful, real-world AI capabilities-not just research prototypes. The team dynamic is highly collaborative and mission-driven, consisting of AI engineers, cyber SMEs, and platform engineers working in agile sprints. This role serves as a technical leader and mentor, guiding best practices in MLOps, DevSecOps, and secure AI deployment. Lead end-to-end AI system design, development, and deployment Architect and implement scalable MLOps pipelines for training, validation, and deployment Deploy AI/ML models to cloud, on-prem, and edge environments Integrate AI capabilities into cybersecurity tools and operational workflows Ensure system security, including adversarial robustness and secure model deployment Collaborate with cross-functional teams (cyber, infrastructure, software engineering) Mentor mid-level engineers and provide technical oversight Rapidly prototype AI solutions and transition them into production systems Ensure compliance with DoD Risk Management Framework (RMF) requirements Required Qualifications: Must be a U.S. Citizen Active TS/SCI Clearance and Polygraph required 8+ years of experience in AI/ML engineering, software engineering, or related field Bachelor's degree in Computer Science, Engineering, or related field Strong experience deploying AI/ML models into production environments Expertise in Python and at least one additional language (e.g., C++, Go) Experience with MLOps tools (e.g., Kubernetes, Docker, MLflow, Kubeflow, VMWare, Tanzu) Experience with cloud and hybrid infrastructure (AWS, Azure, or DoD cloud environments) Knowledge of DevSecOps and infrastructure-as-code (e.g., Terraform, Ansible) Experience with model serving, monitoring, and lifecycle management Familiarity with cybersecurity concepts and secure system design Experience working in classified or regulated environments (DoD/IC preferred) Desired Qualifications: Master's degree Experience with adversarial machine learning and AI security Background in cyber operations or network traffic analysis Experience deploying models in edge or disconnected environments Familiarity with large language models (LLMs) and generative AI systems Knowledge of secure enclaves and confidential computing Prior experience supporting DoD or Intelligence Community missions Relevant certifications (e.g., AWS Certified Solutions Architect, Security+, CISSP) Compensation Range: $215,000 - $245,000 _ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
About Typeface We help the world's biggest brands move from brief to fully personalized campaigns - in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we're building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. What You'll Do As a Senior Machine Learning Engineer, you will be responsible for building machine learning models/systems and innovative web applications that deliver the power of Generative AI to our customers. You will work closely with designers, product managers and other engineers driving the technical designs and implementations. How You'll Make an Impact Define the roadmap for generation of various content types including text, image, audio and video enabling us to generate brand-affinized, hyper-personalized, and safe content Own the delivery of key business, product and technology initiatives across design, specification, development, testing, and launch. Establish and implement processes for model training, fine-tuning, testing, and operating the Generative AI models at significant scale. Investigate, prototype and deliver innovative solutions Collaborate with other engineers, Product and Business Teams to identify new ways to improve our product and drive growth Establish a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metrics What You Bring Master's or PhD degree in Computer Science or a related field Experience with building and evolving ML Training and Inferencing systems at significant scale with a purpose of solving real-world problems. 5+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Proficiency in Python, C/C++ (or equivalent) Ability to create self-contained, reusable, and testable modules and passionate about prototyping Prior experience with AzureML, GCP Vertex, AWS Sagemaker or similar platforms Bonus: Hands-on experience in deploying and tuning Generative AI models in cloud or on local system Bonus: Experience working at a high-growth startup or tech company Publications and research experiences in ML venues and/or vision/language applications are a plus Location This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week. Base Salary The range for this role is $188,000-$200,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits Competitive compensation - including salary, equity, and 401(k) Full medical, dental, and vision insurance for you and your family HSA and FSA options to support your financial wellness Flexible time off - including parental leave Well-being programs - resources to support your mental and physical health Daily lunch & snacks Mentorship & impact - work closely with top AI leaders on products that ship Equality Opportunity Statement We welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate. Why You'll Love Working Here Build something big - Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI. Your work will matter - Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns. A+ team - Collaborate with veterans from Meta, Amazon, Adobe, Google, Microsoft, and top AI companies. Backed by the best - GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and Menlo ($165M raised). Recognized for innovation - TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).
09/25/2026
Full time
About Typeface We help the world's biggest brands move from brief to fully personalized campaigns - in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we're building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. What You'll Do As a Senior Machine Learning Engineer, you will be responsible for building machine learning models/systems and innovative web applications that deliver the power of Generative AI to our customers. You will work closely with designers, product managers and other engineers driving the technical designs and implementations. How You'll Make an Impact Define the roadmap for generation of various content types including text, image, audio and video enabling us to generate brand-affinized, hyper-personalized, and safe content Own the delivery of key business, product and technology initiatives across design, specification, development, testing, and launch. Establish and implement processes for model training, fine-tuning, testing, and operating the Generative AI models at significant scale. Investigate, prototype and deliver innovative solutions Collaborate with other engineers, Product and Business Teams to identify new ways to improve our product and drive growth Establish a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metrics What You Bring Master's or PhD degree in Computer Science or a related field Experience with building and evolving ML Training and Inferencing systems at significant scale with a purpose of solving real-world problems. 5+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Proficiency in Python, C/C++ (or equivalent) Ability to create self-contained, reusable, and testable modules and passionate about prototyping Prior experience with AzureML, GCP Vertex, AWS Sagemaker or similar platforms Bonus: Hands-on experience in deploying and tuning Generative AI models in cloud or on local system Bonus: Experience working at a high-growth startup or tech company Publications and research experiences in ML venues and/or vision/language applications are a plus Location This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week. Base Salary The range for this role is $188,000-$200,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits Competitive compensation - including salary, equity, and 401(k) Full medical, dental, and vision insurance for you and your family HSA and FSA options to support your financial wellness Flexible time off - including parental leave Well-being programs - resources to support your mental and physical health Daily lunch & snacks Mentorship & impact - work closely with top AI leaders on products that ship Equality Opportunity Statement We welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate. Why You'll Love Working Here Build something big - Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI. Your work will matter - Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns. A+ team - Collaborate with veterans from Meta, Amazon, Adobe, Google, Microsoft, and top AI companies. Backed by the best - GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and Menlo ($165M raised). Recognized for innovation - TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace-so teams can ship faster with confidence. We're a Series C company backed by top-tier investors,with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity AI is rapidly transforming the world. Whether it's developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. The Team Our team is working to define the "canonical stack" for AI workflows, by solving the toughest problems in AI today: how to experiment, evaluate, understand and improve models or applications at scale in a responsible way. The product team has deep technical and strategic backgrounds from leading AI/ML companies (Uber, Cruise, Spotify, Apple) and experience shipping market leading platforms at scale. Working with this team is an opportunity to develop further as a PM leader in a rapidly growing space by collaborating with some of the best in class AI Engineers and Data Scientists in the industry. What You'll Do You will be owning, strategizing, and developing a large portion of Arize AI's core product roadmap. From ideation to creation, you will be involved in all stages of the product life cycle. You will be engaging with our customers directly to gather meaningful insight and feedback in order to create a world class product. You will be working cross functionally with internal and external stakeholders; including engineering, design, marketing, and sales to drive our product strategy into production. You will be responsible for communicating and integrating competitive analysis, usability research, and market analysis into product requirements. Utilize your understanding in AI/ML/CV or related technical space in order to contribute to Arize AI's main product offering. What We're Looking For 3-5+ years of relevant product management experience or previous AI/ML experience with strong product ownership in an AI-native company Previous engineering and/or tech lead experience Strong track record of building in a technical domain while shipping quickly and efficiently. Willingness to get your hands dirty with code! Experience and/or knowledge of working within machine learning, or data platforms and infrastructure. Experience working directly with customers and promoting community discussions in order to gather client feedback. Experience driving data-informed product strategy into production. Bonus Points, But Not Required Experience in API design Early startup experience Experience working with Figma or similar design tools The estimated annual salary for this role is between $200,000-$250,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize's mission is to make the world's AI work-and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge-understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: Diversity & Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup
09/25/2026
Full time
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace-so teams can ship faster with confidence. We're a Series C company backed by top-tier investors,with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity AI is rapidly transforming the world. Whether it's developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. The Team Our team is working to define the "canonical stack" for AI workflows, by solving the toughest problems in AI today: how to experiment, evaluate, understand and improve models or applications at scale in a responsible way. The product team has deep technical and strategic backgrounds from leading AI/ML companies (Uber, Cruise, Spotify, Apple) and experience shipping market leading platforms at scale. Working with this team is an opportunity to develop further as a PM leader in a rapidly growing space by collaborating with some of the best in class AI Engineers and Data Scientists in the industry. What You'll Do You will be owning, strategizing, and developing a large portion of Arize AI's core product roadmap. From ideation to creation, you will be involved in all stages of the product life cycle. You will be engaging with our customers directly to gather meaningful insight and feedback in order to create a world class product. You will be working cross functionally with internal and external stakeholders; including engineering, design, marketing, and sales to drive our product strategy into production. You will be responsible for communicating and integrating competitive analysis, usability research, and market analysis into product requirements. Utilize your understanding in AI/ML/CV or related technical space in order to contribute to Arize AI's main product offering. What We're Looking For 3-5+ years of relevant product management experience or previous AI/ML experience with strong product ownership in an AI-native company Previous engineering and/or tech lead experience Strong track record of building in a technical domain while shipping quickly and efficiently. Willingness to get your hands dirty with code! Experience and/or knowledge of working within machine learning, or data platforms and infrastructure. Experience working directly with customers and promoting community discussions in order to gather client feedback. Experience driving data-informed product strategy into production. Bonus Points, But Not Required Experience in API design Early startup experience Experience working with Figma or similar design tools The estimated annual salary for this role is between $200,000-$250,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize's mission is to make the world's AI work-and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge-understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: Diversity & Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup
Alloy is where you belong! Alloy is the AI-powered identity and fraud prevention platform that accelerates onboarding, stops fraud, and scales compliance across the customer lifecycle so financial organizations can grow without limits. More than 900 of the world's leading financial institutions and fintechs trust Alloy for smarter risk management that drives growth. Through our values: Be Bold, Go Fast, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we've been continuously recognized and named one of Inc. Magazine's Best Workplaces, Forbes America's Best Startup Employers, Best Fintech to Work for by American Banker, year after year. Check out our investors and read more about us here. About the team The Signals team builds Alloy's real-time machine learning systems at scale. Our immediate focus is on fraud detection, where we believe machine learning can simplify and accelerate decision-making in ways traditional rule-based systems can't. Managing rules and policies to detect fraud is complex and constantly evolving; we use ML to make it smarter, faster, and more adaptive. Our approach is identity-centric, combining signals from a wide range of data sources to build a comprehensive understanding of risk. You will work on advancing our core models while also partnering directly with customers to drive strong outcomes from fraud studies. Alloy operates in a hybrid work environment. We look to foster collaboration and community by having our local employees onsite three days a week. What you'll be doing Contribute to the design, training, and evaluation of machine learning models that power Alloy's fraud detection capabilities. Develop testing plans, metrics, performance reports, and translate findings into actionable recommendations. Support production ML workflows, including feature generation, model training, and monitoring, to ensure models remain accurate and reliable at scale. Document findings and communicate insights to internal teams, contributing to shared learning and continuous improvement. Maintain up-to-date model documentation and support Alloy's model governance processes to ensure transparency and compliance. Stay current with industry trends in applied ML and fraud detection, and contribute to Alloy's mission of making financial services safer and more accessible. Who we're looking for Always building with end-solution in mind. Able to communicate complicated concepts to a non-technical audience without diluting the complexity of the work. Able to build strong cross-functional relationships within Alloy. Naturally curious with a knack for asking tough questions. Solid understanding of core ML concepts such as supervised learning, feature engineering, and model evaluation. A team player. You believe that big things happen when the right people are working together. A fast learner Humble. Mistakes happen and owning them helps us learn and move on quickly You have: 8+ years as an individual contributor in Applied Fraud Research, Data Science, or Machine Learning with a proven track record in a "Solutions" or client-facing capacity. Expertise in working with highly imbalanced datasets and building production-grade Machine Learning models with specific interest in tree-based models. Advanced proficiency in scripting languages like Python and querying languages like SQL Proven ability to wrangle and think thoughtfully about data at scale (processing billions of records). Experience developing metrics and dashboards. Able to communicate their findings effectively to technical and nontechnical members Someone who embodies our shared Alloy values: be bold, get scrappy, collaborate, and celebrate our differences. You have experience in a highly analytical role in fast-paced environments Must be local to Greater New York City. Nice to Haves: Previous experience in financial fraud detection. Advanced Degree (Masters or PhD) in a quantitative field. Experience managing the end-to-end lifecycle of a technical pilot or Proof of Concept. Experience with BI tools like Looker. Experience with modeling on graph structures. We're a lean team, so your impact will be felt immediately, and opportunities will grow as the company scales up. If this all sounds like a good fit for you, why not join us? Alloy is committed to fair and equitable compensation practices. Below is the anticipated starting base compensation range for this role; however, pay may vary depending on job-related knowledge, in-demand skills, relevant experience, and/or geography. In addition to a competitive base salary, this position is also eligible for equity awards in the form of stock options (ISOs) as well as a competitive total benefits package. Your recruiter will be happy to walk you through the details and what compensation could look like for you specifically! This position has a salary range of $212,000, to $251,000. Benefits and Perks Unlimited PTO and flexible work policy Employee stock options Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options 401k with 100% match up to 4% of annual employee compensation Eligible new parents receive 16 weeks of paid parental leave Home office stipend for new employees Annual Learning & Development annual stipend Well-being benefits include access to ClassPass, OneMedical, UrbanSitter, and Spring Health Hybrid work environment: employees are expected to work Tuesdays through Thursdays from our HQ in Union Square, Manhattan. Tasty lunches catered from a variety of local restaurants and frequent employee-organized cultural events contribute to our positive office energy. On Monday/Friday most employees Zoom into work from home while some take advantage of the quieter office. How to apply Apply right here! You've found the application! Alloy is proud to be an equal-opportunity workplace and employer. We're committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. We are committed to an inclusive interview experience and provide reasonable accommodations to applicants with visible and invisible disabilities. We encourage applicants to share needed accommodations with their recruiter. All Alloy jobs are listed on our careers page. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with an email address. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information during the recruiting process. If you're ever unsure, please contact us directly via our website before sharing personal information.
09/25/2026
Full time
Alloy is where you belong! Alloy is the AI-powered identity and fraud prevention platform that accelerates onboarding, stops fraud, and scales compliance across the customer lifecycle so financial organizations can grow without limits. More than 900 of the world's leading financial institutions and fintechs trust Alloy for smarter risk management that drives growth. Through our values: Be Bold, Go Fast, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we've been continuously recognized and named one of Inc. Magazine's Best Workplaces, Forbes America's Best Startup Employers, Best Fintech to Work for by American Banker, year after year. Check out our investors and read more about us here. About the team The Signals team builds Alloy's real-time machine learning systems at scale. Our immediate focus is on fraud detection, where we believe machine learning can simplify and accelerate decision-making in ways traditional rule-based systems can't. Managing rules and policies to detect fraud is complex and constantly evolving; we use ML to make it smarter, faster, and more adaptive. Our approach is identity-centric, combining signals from a wide range of data sources to build a comprehensive understanding of risk. You will work on advancing our core models while also partnering directly with customers to drive strong outcomes from fraud studies. Alloy operates in a hybrid work environment. We look to foster collaboration and community by having our local employees onsite three days a week. What you'll be doing Contribute to the design, training, and evaluation of machine learning models that power Alloy's fraud detection capabilities. Develop testing plans, metrics, performance reports, and translate findings into actionable recommendations. Support production ML workflows, including feature generation, model training, and monitoring, to ensure models remain accurate and reliable at scale. Document findings and communicate insights to internal teams, contributing to shared learning and continuous improvement. Maintain up-to-date model documentation and support Alloy's model governance processes to ensure transparency and compliance. Stay current with industry trends in applied ML and fraud detection, and contribute to Alloy's mission of making financial services safer and more accessible. Who we're looking for Always building with end-solution in mind. Able to communicate complicated concepts to a non-technical audience without diluting the complexity of the work. Able to build strong cross-functional relationships within Alloy. Naturally curious with a knack for asking tough questions. Solid understanding of core ML concepts such as supervised learning, feature engineering, and model evaluation. A team player. You believe that big things happen when the right people are working together. A fast learner Humble. Mistakes happen and owning them helps us learn and move on quickly You have: 8+ years as an individual contributor in Applied Fraud Research, Data Science, or Machine Learning with a proven track record in a "Solutions" or client-facing capacity. Expertise in working with highly imbalanced datasets and building production-grade Machine Learning models with specific interest in tree-based models. Advanced proficiency in scripting languages like Python and querying languages like SQL Proven ability to wrangle and think thoughtfully about data at scale (processing billions of records). Experience developing metrics and dashboards. Able to communicate their findings effectively to technical and nontechnical members Someone who embodies our shared Alloy values: be bold, get scrappy, collaborate, and celebrate our differences. You have experience in a highly analytical role in fast-paced environments Must be local to Greater New York City. Nice to Haves: Previous experience in financial fraud detection. Advanced Degree (Masters or PhD) in a quantitative field. Experience managing the end-to-end lifecycle of a technical pilot or Proof of Concept. Experience with BI tools like Looker. Experience with modeling on graph structures. We're a lean team, so your impact will be felt immediately, and opportunities will grow as the company scales up. If this all sounds like a good fit for you, why not join us? Alloy is committed to fair and equitable compensation practices. Below is the anticipated starting base compensation range for this role; however, pay may vary depending on job-related knowledge, in-demand skills, relevant experience, and/or geography. In addition to a competitive base salary, this position is also eligible for equity awards in the form of stock options (ISOs) as well as a competitive total benefits package. Your recruiter will be happy to walk you through the details and what compensation could look like for you specifically! This position has a salary range of $212,000, to $251,000. Benefits and Perks Unlimited PTO and flexible work policy Employee stock options Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options 401k with 100% match up to 4% of annual employee compensation Eligible new parents receive 16 weeks of paid parental leave Home office stipend for new employees Annual Learning & Development annual stipend Well-being benefits include access to ClassPass, OneMedical, UrbanSitter, and Spring Health Hybrid work environment: employees are expected to work Tuesdays through Thursdays from our HQ in Union Square, Manhattan. Tasty lunches catered from a variety of local restaurants and frequent employee-organized cultural events contribute to our positive office energy. On Monday/Friday most employees Zoom into work from home while some take advantage of the quieter office. How to apply Apply right here! You've found the application! Alloy is proud to be an equal-opportunity workplace and employer. We're committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. We are committed to an inclusive interview experience and provide reasonable accommodations to applicants with visible and invisible disabilities. We encourage applicants to share needed accommodations with their recruiter. All Alloy jobs are listed on our careers page. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with an email address. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information during the recruiting process. If you're ever unsure, please contact us directly via our website before sharing personal information.
At Arctic Wolf, you won't just watch the cybersecurity industry evolve - you'll help lead the change. Our global Pack is made up of people who thrive on solving hard problems, moving fast, and building technology that protects organizations around the world. We're proud to be recognized by Forbes, CNBC, Fortune, CRN, Bartner Peer Insights and IDC MarketScape - but what matters most is the work behind it: delivering real outcomes for customers through award winning innovation like our Aurora Platform. If you're looking for meaningful work, smart teammates and the chance to make a real impact in a high-growth company that's redefining security operations, Arctic Wolf is the right place for you! Our mission is simple: End Cyber Risk. We're looking for a Senior Manager, Artificial Intelligence to be part of making that happen. About The Role In this role, you advance that mission by planning and directing the AI development that turns massive volumes of security signal into faster detection and response. This work spans the full range of machine learning and AI solutions, from classical models to fine-tuned language models and agentic systems. You ensure AI initiatives, processes, and deliverables conform to the organization's established policies, quality standards, and objectives. You also work closely with R&D Leadership, Product Management, and the Security Services (S2) organization to build scalable, production-grade AI that customers and analysts need, delivered on time. Senior Managers carry a large scope of leadership and may have multiple managers and/or technical leads reporting to them. The right leader brings specialized subject-matter expertise in the AI domain along with a can-do attitude. They are comfortable working across functional boundaries, partnering with data scientists, platform engineers, threat researchers, and security operations analysts to push complex, ambiguous initiatives over the line. Responsibilities Generates and manages the day-to-day work for their team and is accountable for its outcomes. Partners with the Product team to define and deliver the 6-month AI roadmap and contributes to longer-term planning and strategy with R&D Leadership. Provides direction and clarity, removes obstacles, and leads teams that deliver high-quality, innovative AI solutions alongside architects, developers, data scientists, product managers, CSEs, and support people. Set the direction for applying the right approach to each problem, from classical ML (e.g., clustering, random forests) to deep learning, fine-tuned language models, and agentic systems, in partnership with your technical peers and team members, translating complex security use cases into production-ready initiatives. Partner with Architects and other leadership on the company's technical roadmap, championing secure, observable, and scalable AI systems in cloud-native environments. Oversee the design, training, deployment, and ongoing quality measurement of models and agentic experiences. Drive continuous improvement in engineering and MLOps processes. Uphold secure coding and acceptable-use standards across the full development life cycle. Drive cross-functional initiatives with platform, product, and security operations teams to integrate AI into production, and see that work through to completion. Mentor each team member and help them grow their technical and leadership skills, establishing career development plans and achievable goals. Build collaborative relationships across teams and stakeholders. Lead recruitment for their team and be a key contributor to hiring and recruitment strategy for both full-time and co-op roles. About You Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Data Science, or a related field, or an equivalent combination of education and experience. Four years of experience in software, AI/ML, or data science roles (or a Master's degree plus two years), including experience leading technical teams or projects. Demonstrated experience leading technical teams and delivering AI/ML or Generative AI systems to production at scale. Strong expertise in the production delivery of Generative AI or machine learning systems, including training, tuning, and ongoing quality measurement and evaluation (e.g., LLM-as-judge). Experience with agentic frameworks (e.g., AgentCore, LangChain, LangGraph) and LLM integration. Experience architecting MLOps processes and tooling for moving models from training to production, including drift monitoring and continuous learning in high-volume pipelines. Familiarity with cloud-native data services (AWS preferred) and data engineering tools (e.g., Spark, Flink, Kafka, Databricks), and with infrastructure-as-code, CI/CD, and DevSecOps principles. Exposure to cybersecurity concepts such as threat detection, MITRE ATT&CK, telemetry, and adversarial behavior modeling. A can-do attitude, tenacity, and proven ability to work across cross-functional boundaries to drive ambiguous, high-impact initiatives to completion. On-Camera Policy To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations. About Arctic Wolf At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (), Best Places to Work - USA (), Great Place to Work - Canada (), Great Place to Work - UK (2024), and Kununu Top Company - Germany (2024). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry. Our Values Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that-by protecting people's and organizations' sensitive data and seeking to end cyber risk- we get to work in an industry that is fundamental to the greater good. We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here. We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities. All wolves receive compelling compensation and benefits packages, including: Equity for all employees Flexible time off and paid volunteer days RRSP and 401k match Training and career development programs Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D, and value-added services Robust Employee Assistance Program (EAP) with mental health services Fertility support and paid parental leave Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodations by emailing . Security Requirements Conducts duties and responsibilities in accordance with AWN's Information Security policies, standards, processes, and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies). Background checks are required for this position. This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations ("EAR"). Please note that, if applicable, an offer for employment will be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations. The base salary range for this job family is 118,700 to 280,000 USD annually. This range reflects the base pay the company reasonably expects to offer for this position, aligned to the broader job family base pay structure . click apply for full job details
09/25/2026
Full time
At Arctic Wolf, you won't just watch the cybersecurity industry evolve - you'll help lead the change. Our global Pack is made up of people who thrive on solving hard problems, moving fast, and building technology that protects organizations around the world. We're proud to be recognized by Forbes, CNBC, Fortune, CRN, Bartner Peer Insights and IDC MarketScape - but what matters most is the work behind it: delivering real outcomes for customers through award winning innovation like our Aurora Platform. If you're looking for meaningful work, smart teammates and the chance to make a real impact in a high-growth company that's redefining security operations, Arctic Wolf is the right place for you! Our mission is simple: End Cyber Risk. We're looking for a Senior Manager, Artificial Intelligence to be part of making that happen. About The Role In this role, you advance that mission by planning and directing the AI development that turns massive volumes of security signal into faster detection and response. This work spans the full range of machine learning and AI solutions, from classical models to fine-tuned language models and agentic systems. You ensure AI initiatives, processes, and deliverables conform to the organization's established policies, quality standards, and objectives. You also work closely with R&D Leadership, Product Management, and the Security Services (S2) organization to build scalable, production-grade AI that customers and analysts need, delivered on time. Senior Managers carry a large scope of leadership and may have multiple managers and/or technical leads reporting to them. The right leader brings specialized subject-matter expertise in the AI domain along with a can-do attitude. They are comfortable working across functional boundaries, partnering with data scientists, platform engineers, threat researchers, and security operations analysts to push complex, ambiguous initiatives over the line. Responsibilities Generates and manages the day-to-day work for their team and is accountable for its outcomes. Partners with the Product team to define and deliver the 6-month AI roadmap and contributes to longer-term planning and strategy with R&D Leadership. Provides direction and clarity, removes obstacles, and leads teams that deliver high-quality, innovative AI solutions alongside architects, developers, data scientists, product managers, CSEs, and support people. Set the direction for applying the right approach to each problem, from classical ML (e.g., clustering, random forests) to deep learning, fine-tuned language models, and agentic systems, in partnership with your technical peers and team members, translating complex security use cases into production-ready initiatives. Partner with Architects and other leadership on the company's technical roadmap, championing secure, observable, and scalable AI systems in cloud-native environments. Oversee the design, training, deployment, and ongoing quality measurement of models and agentic experiences. Drive continuous improvement in engineering and MLOps processes. Uphold secure coding and acceptable-use standards across the full development life cycle. Drive cross-functional initiatives with platform, product, and security operations teams to integrate AI into production, and see that work through to completion. Mentor each team member and help them grow their technical and leadership skills, establishing career development plans and achievable goals. Build collaborative relationships across teams and stakeholders. Lead recruitment for their team and be a key contributor to hiring and recruitment strategy for both full-time and co-op roles. About You Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Data Science, or a related field, or an equivalent combination of education and experience. Four years of experience in software, AI/ML, or data science roles (or a Master's degree plus two years), including experience leading technical teams or projects. Demonstrated experience leading technical teams and delivering AI/ML or Generative AI systems to production at scale. Strong expertise in the production delivery of Generative AI or machine learning systems, including training, tuning, and ongoing quality measurement and evaluation (e.g., LLM-as-judge). Experience with agentic frameworks (e.g., AgentCore, LangChain, LangGraph) and LLM integration. Experience architecting MLOps processes and tooling for moving models from training to production, including drift monitoring and continuous learning in high-volume pipelines. Familiarity with cloud-native data services (AWS preferred) and data engineering tools (e.g., Spark, Flink, Kafka, Databricks), and with infrastructure-as-code, CI/CD, and DevSecOps principles. Exposure to cybersecurity concepts such as threat detection, MITRE ATT&CK, telemetry, and adversarial behavior modeling. A can-do attitude, tenacity, and proven ability to work across cross-functional boundaries to drive ambiguous, high-impact initiatives to completion. On-Camera Policy To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations. About Arctic Wolf At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (), Best Places to Work - USA (), Great Place to Work - Canada (), Great Place to Work - UK (2024), and Kununu Top Company - Germany (2024). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry. Our Values Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that-by protecting people's and organizations' sensitive data and seeking to end cyber risk- we get to work in an industry that is fundamental to the greater good. We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here. We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities. All wolves receive compelling compensation and benefits packages, including: Equity for all employees Flexible time off and paid volunteer days RRSP and 401k match Training and career development programs Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D, and value-added services Robust Employee Assistance Program (EAP) with mental health services Fertility support and paid parental leave Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodations by emailing . Security Requirements Conducts duties and responsibilities in accordance with AWN's Information Security policies, standards, processes, and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies). Background checks are required for this position. This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations ("EAR"). Please note that, if applicable, an offer for employment will be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations. The base salary range for this job family is 118,700 to 280,000 USD annually. This range reflects the base pay the company reasonably expects to offer for this position, aligned to the broader job family base pay structure . click apply for full job details
Career Category Sales & Marketing Operations Job Description Join Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Associate Director, Commercial Data Science What you will do Let's do this. Let's change the world. In this vital role the Associate Director, Commercial Data Science is responsible for defining and executing the Commercial AI and Advanced Analytics strategy across Amgen's Commercial Business Units. This leader partners with senior commercial, marketing, medical, digital, and technology stakeholders to identify high-value business opportunities where AI and data science can create measurable impact. Rather than serving as an individual contributor, the Associate Director leads teams of data scientists and cross-functional partners to develop scalable AI/ML products and enterprise analytics capabilities that improve commercial performance and ultimately help patients receive the therapies they need. Reporting to the Senior Director, Commercial Data Science, this individual will drive strategy, portfolio prioritization, organizational capability, and business adoption across the Commercial organization. Flexible Commuter role to Thousand Oaks, CA office. You will work on-site a minimum of 2 days a week. Strategic Leadership Execute on the Commercial AI and Advanced Analytics roadmap aligned with brand and enterprise priorities. Partner with Commercial leadership to identify high-value opportunities where AI and advanced analytics can accelerate growth, improve customer engagement, and enhance decision making. Prioritize the Commercial AI/ML portfolio based on business value, strategic alignment, organizational readiness, and expected return on investment. Translate evolving business challenges into scalable capabilities and data products. AI Product & Portfolio Leadership Lead a portfolio of AI, Machine Learning, Generative AI, and advanced analytics initiatives from business strategy through deployment and organizational adoption. Provide technical oversight for predictive modeling, customer targeting, next-best-action, causal inference, optimization, Generative AI, and other advanced analytical capabilities. Guide technical teams in the development of production-grade AI products while ensuring scalability, maintainability, and business impact. Partner with Data Engineering, Digital Technology, and external vendors to operationalize enterprise AI capabilities. Business Partnership & Executive Influence Build trusted partnerships with Brand, Marketing, Sales, Medical, Market Access, and Digital leaders. Communicate complex analytical concepts to executive audiences in a clear, compelling, and business-focused manner. Influence investment decisions by developing business cases, success metrics, and ROI assessments for AI initiatives. Organizational Leadership Lead, coach, and develop a high-performing team of data scientists while fostering a culture of innovation, collaboration, continuous learning, and business partnership. Establish technical standards, best practices, and governance for Commercial Data Science. Champion responsible AI principles, model governance, and ethical AI practices across Commercial. Build organizational capability by mentoring future leaders and developing technical talent. Innovation & Thought Leadership Continuously evaluate emerging AI technologies, industry trends, and external innovations to identify opportunities that create competitive advantage. Represent Commercial Data Science across enterprise initiatives and external collaborations. Foster experimentation while ensuring successful transition from proof-of-concept to enterprise-scale deployment. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications. Basic Qualifications: Doctorate degree and 3 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Master's degree and 7 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Bachelor's degree and 9 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Associate's degree and 12 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR High school diploma / GED and 14 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field In addition to meeting at least one of the above requirements, you must have a minimum of 3 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources. Your managerial experience may run concurrently with the required technical experience referenced above Preferred Qualifications: Leadership 5+ years leading cross-functional AI, analytics, or data science initiatives that delivered measurable business outcomes. 3+ years of people leadership experience, including coaching and developing technical talent. Demonstrated success influencing executive stakeholders and driving organizational change. AI & Analytics Strategy Deep understanding of AI, Machine Learning, Generative AI, optimization, causal inference, and modern data science methodologies. Experience developing enterprise AI strategies and managing portfolios of analytical products. Proven ability to translate business priorities into scalable analytical solutions. Commercial Business Acumen Bio/Pharmaceutical commercial experience strongly preferred. Experience supporting Commercial strategy, omnichannel engagement, customer targeting, market access, patient analytics, or field effectiveness. Strong understanding of healthcare data including claims, specialty pharmacy, EMR, and commercial datasets. Technical Leadership Experience providing technical direction for cloud-based AI platforms including Databricks, AWS, Azure, or similar technologies. Strong understanding of MLOps, AI product lifecycle management, model governance, and production deployment. Previous hands-on programming experience in Python, R, Scala, Java, or similar languages with the ability to guide technical solution design rather than serve as the primary developer. Communication Strong presence with the ability to simplify complex analytical concepts into strategic business recommendations. Excellent written, verbal, and presentation skills. Demonstrated ability to influence without authority across diverse stakeholder groups. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team. careers . click apply for full job details
09/25/2026
Full time
Career Category Sales & Marketing Operations Job Description Join Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Associate Director, Commercial Data Science What you will do Let's do this. Let's change the world. In this vital role the Associate Director, Commercial Data Science is responsible for defining and executing the Commercial AI and Advanced Analytics strategy across Amgen's Commercial Business Units. This leader partners with senior commercial, marketing, medical, digital, and technology stakeholders to identify high-value business opportunities where AI and data science can create measurable impact. Rather than serving as an individual contributor, the Associate Director leads teams of data scientists and cross-functional partners to develop scalable AI/ML products and enterprise analytics capabilities that improve commercial performance and ultimately help patients receive the therapies they need. Reporting to the Senior Director, Commercial Data Science, this individual will drive strategy, portfolio prioritization, organizational capability, and business adoption across the Commercial organization. Flexible Commuter role to Thousand Oaks, CA office. You will work on-site a minimum of 2 days a week. Strategic Leadership Execute on the Commercial AI and Advanced Analytics roadmap aligned with brand and enterprise priorities. Partner with Commercial leadership to identify high-value opportunities where AI and advanced analytics can accelerate growth, improve customer engagement, and enhance decision making. Prioritize the Commercial AI/ML portfolio based on business value, strategic alignment, organizational readiness, and expected return on investment. Translate evolving business challenges into scalable capabilities and data products. AI Product & Portfolio Leadership Lead a portfolio of AI, Machine Learning, Generative AI, and advanced analytics initiatives from business strategy through deployment and organizational adoption. Provide technical oversight for predictive modeling, customer targeting, next-best-action, causal inference, optimization, Generative AI, and other advanced analytical capabilities. Guide technical teams in the development of production-grade AI products while ensuring scalability, maintainability, and business impact. Partner with Data Engineering, Digital Technology, and external vendors to operationalize enterprise AI capabilities. Business Partnership & Executive Influence Build trusted partnerships with Brand, Marketing, Sales, Medical, Market Access, and Digital leaders. Communicate complex analytical concepts to executive audiences in a clear, compelling, and business-focused manner. Influence investment decisions by developing business cases, success metrics, and ROI assessments for AI initiatives. Organizational Leadership Lead, coach, and develop a high-performing team of data scientists while fostering a culture of innovation, collaboration, continuous learning, and business partnership. Establish technical standards, best practices, and governance for Commercial Data Science. Champion responsible AI principles, model governance, and ethical AI practices across Commercial. Build organizational capability by mentoring future leaders and developing technical talent. Innovation & Thought Leadership Continuously evaluate emerging AI technologies, industry trends, and external innovations to identify opportunities that create competitive advantage. Represent Commercial Data Science across enterprise initiatives and external collaborations. Foster experimentation while ensuring successful transition from proof-of-concept to enterprise-scale deployment. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications. Basic Qualifications: Doctorate degree and 3 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Master's degree and 7 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Bachelor's degree and 9 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Associate's degree and 12 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR High school diploma / GED and 14 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field In addition to meeting at least one of the above requirements, you must have a minimum of 3 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources. Your managerial experience may run concurrently with the required technical experience referenced above Preferred Qualifications: Leadership 5+ years leading cross-functional AI, analytics, or data science initiatives that delivered measurable business outcomes. 3+ years of people leadership experience, including coaching and developing technical talent. Demonstrated success influencing executive stakeholders and driving organizational change. AI & Analytics Strategy Deep understanding of AI, Machine Learning, Generative AI, optimization, causal inference, and modern data science methodologies. Experience developing enterprise AI strategies and managing portfolios of analytical products. Proven ability to translate business priorities into scalable analytical solutions. Commercial Business Acumen Bio/Pharmaceutical commercial experience strongly preferred. Experience supporting Commercial strategy, omnichannel engagement, customer targeting, market access, patient analytics, or field effectiveness. Strong understanding of healthcare data including claims, specialty pharmacy, EMR, and commercial datasets. Technical Leadership Experience providing technical direction for cloud-based AI platforms including Databricks, AWS, Azure, or similar technologies. Strong understanding of MLOps, AI product lifecycle management, model governance, and production deployment. Previous hands-on programming experience in Python, R, Scala, Java, or similar languages with the ability to guide technical solution design rather than serve as the primary developer. Communication Strong presence with the ability to simplify complex analytical concepts into strategic business recommendations. Excellent written, verbal, and presentation skills. Demonstrated ability to influence without authority across diverse stakeholder groups. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team. careers . click apply for full job details
Career Category Sales & Marketing Operations Job Description Join Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Associate Director, Commercial Data Science What you will do Let's do this. Let's change the world. In this vital role the Associate Director, Commercial Data Science is responsible for defining and executing the Commercial AI and Advanced Analytics strategy across Amgen's Commercial Business Units. This leader partners with senior commercial, marketing, medical, digital, and technology stakeholders to identify high-value business opportunities where AI and data science can create measurable impact. Rather than serving as an individual contributor, the Associate Director leads teams of data scientists and cross-functional partners to develop scalable AI/ML products and enterprise analytics capabilities that improve commercial performance and ultimately help patients receive the therapies they need. Reporting to the Senior Director, Commercial Data Science, this individual will drive strategy, portfolio prioritization, organizational capability, and business adoption across the Commercial organization. Flexible Commuter role to Thousand Oaks, CA office. You will work on-site a minimum of 2 days a week. Strategic Leadership Execute on the Commercial AI and Advanced Analytics roadmap aligned with brand and enterprise priorities. Partner with Commercial leadership to identify high-value opportunities where AI and advanced analytics can accelerate growth, improve customer engagement, and enhance decision making. Prioritize the Commercial AI/ML portfolio based on business value, strategic alignment, organizational readiness, and expected return on investment. Translate evolving business challenges into scalable capabilities and data products. AI Product & Portfolio Leadership Lead a portfolio of AI, Machine Learning, Generative AI, and advanced analytics initiatives from business strategy through deployment and organizational adoption. Provide technical oversight for predictive modeling, customer targeting, next-best-action, causal inference, optimization, Generative AI, and other advanced analytical capabilities. Guide technical teams in the development of production-grade AI products while ensuring scalability, maintainability, and business impact. Partner with Data Engineering, Digital Technology, and external vendors to operationalize enterprise AI capabilities. Business Partnership & Executive Influence Build trusted partnerships with Brand, Marketing, Sales, Medical, Market Access, and Digital leaders. Communicate complex analytical concepts to executive audiences in a clear, compelling, and business-focused manner. Influence investment decisions by developing business cases, success metrics, and ROI assessments for AI initiatives. Organizational Leadership Lead, coach, and develop a high-performing team of data scientists while fostering a culture of innovation, collaboration, continuous learning, and business partnership. Establish technical standards, best practices, and governance for Commercial Data Science. Champion responsible AI principles, model governance, and ethical AI practices across Commercial. Build organizational capability by mentoring future leaders and developing technical talent. Innovation & Thought Leadership Continuously evaluate emerging AI technologies, industry trends, and external innovations to identify opportunities that create competitive advantage. Represent Commercial Data Science across enterprise initiatives and external collaborations. Foster experimentation while ensuring successful transition from proof-of-concept to enterprise-scale deployment. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications. Basic Qualifications: Doctorate degree and 3 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Master's degree and 7 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Bachelor's degree and 9 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Associate's degree and 12 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR High school diploma / GED and 14 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field In addition to meeting at least one of the above requirements, you must have a minimum of 3 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources. Your managerial experience may run concurrently with the required technical experience referenced above Preferred Qualifications: Leadership 5+ years leading cross-functional AI, analytics, or data science initiatives that delivered measurable business outcomes. 3+ years of people leadership experience, including coaching and developing technical talent. Demonstrated success influencing executive stakeholders and driving organizational change. AI & Analytics Strategy Deep understanding of AI, Machine Learning, Generative AI, optimization, causal inference, and modern data science methodologies. Experience developing enterprise AI strategies and managing portfolios of analytical products. Proven ability to translate business priorities into scalable analytical solutions. Commercial Business Acumen Bio/Pharmaceutical commercial experience strongly preferred. Experience supporting Commercial strategy, omnichannel engagement, customer targeting, market access, patient analytics, or field effectiveness. Strong understanding of healthcare data including claims, specialty pharmacy, EMR, and commercial datasets. Technical Leadership Experience providing technical direction for cloud-based AI platforms including Databricks, AWS, Azure, or similar technologies. Strong understanding of MLOps, AI product lifecycle management, model governance, and production deployment. Previous hands-on programming experience in Python, R, Scala, Java, or similar languages with the ability to guide technical solution design rather than serve as the primary developer. Communication Strong presence with the ability to simplify complex analytical concepts into strategic business recommendations. Excellent written, verbal, and presentation skills. Demonstrated ability to influence without authority across diverse stakeholder groups. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team. careers . click apply for full job details
09/25/2026
Full time
Career Category Sales & Marketing Operations Job Description Join Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Associate Director, Commercial Data Science What you will do Let's do this. Let's change the world. In this vital role the Associate Director, Commercial Data Science is responsible for defining and executing the Commercial AI and Advanced Analytics strategy across Amgen's Commercial Business Units. This leader partners with senior commercial, marketing, medical, digital, and technology stakeholders to identify high-value business opportunities where AI and data science can create measurable impact. Rather than serving as an individual contributor, the Associate Director leads teams of data scientists and cross-functional partners to develop scalable AI/ML products and enterprise analytics capabilities that improve commercial performance and ultimately help patients receive the therapies they need. Reporting to the Senior Director, Commercial Data Science, this individual will drive strategy, portfolio prioritization, organizational capability, and business adoption across the Commercial organization. Flexible Commuter role to Thousand Oaks, CA office. You will work on-site a minimum of 2 days a week. Strategic Leadership Execute on the Commercial AI and Advanced Analytics roadmap aligned with brand and enterprise priorities. Partner with Commercial leadership to identify high-value opportunities where AI and advanced analytics can accelerate growth, improve customer engagement, and enhance decision making. Prioritize the Commercial AI/ML portfolio based on business value, strategic alignment, organizational readiness, and expected return on investment. Translate evolving business challenges into scalable capabilities and data products. AI Product & Portfolio Leadership Lead a portfolio of AI, Machine Learning, Generative AI, and advanced analytics initiatives from business strategy through deployment and organizational adoption. Provide technical oversight for predictive modeling, customer targeting, next-best-action, causal inference, optimization, Generative AI, and other advanced analytical capabilities. Guide technical teams in the development of production-grade AI products while ensuring scalability, maintainability, and business impact. Partner with Data Engineering, Digital Technology, and external vendors to operationalize enterprise AI capabilities. Business Partnership & Executive Influence Build trusted partnerships with Brand, Marketing, Sales, Medical, Market Access, and Digital leaders. Communicate complex analytical concepts to executive audiences in a clear, compelling, and business-focused manner. Influence investment decisions by developing business cases, success metrics, and ROI assessments for AI initiatives. Organizational Leadership Lead, coach, and develop a high-performing team of data scientists while fostering a culture of innovation, collaboration, continuous learning, and business partnership. Establish technical standards, best practices, and governance for Commercial Data Science. Champion responsible AI principles, model governance, and ethical AI practices across Commercial. Build organizational capability by mentoring future leaders and developing technical talent. Innovation & Thought Leadership Continuously evaluate emerging AI technologies, industry trends, and external innovations to identify opportunities that create competitive advantage. Represent Commercial Data Science across enterprise initiatives and external collaborations. Foster experimentation while ensuring successful transition from proof-of-concept to enterprise-scale deployment. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications. Basic Qualifications: Doctorate degree and 3 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Master's degree and 7 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Bachelor's degree and 9 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR Associate's degree and 12 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field OR High school diploma / GED and 14 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field In addition to meeting at least one of the above requirements, you must have a minimum of 3 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources. Your managerial experience may run concurrently with the required technical experience referenced above Preferred Qualifications: Leadership 5+ years leading cross-functional AI, analytics, or data science initiatives that delivered measurable business outcomes. 3+ years of people leadership experience, including coaching and developing technical talent. Demonstrated success influencing executive stakeholders and driving organizational change. AI & Analytics Strategy Deep understanding of AI, Machine Learning, Generative AI, optimization, causal inference, and modern data science methodologies. Experience developing enterprise AI strategies and managing portfolios of analytical products. Proven ability to translate business priorities into scalable analytical solutions. Commercial Business Acumen Bio/Pharmaceutical commercial experience strongly preferred. Experience supporting Commercial strategy, omnichannel engagement, customer targeting, market access, patient analytics, or field effectiveness. Strong understanding of healthcare data including claims, specialty pharmacy, EMR, and commercial datasets. Technical Leadership Experience providing technical direction for cloud-based AI platforms including Databricks, AWS, Azure, or similar technologies. Strong understanding of MLOps, AI product lifecycle management, model governance, and production deployment. Previous hands-on programming experience in Python, R, Scala, Java, or similar languages with the ability to guide technical solution design rather than serve as the primary developer. Communication Strong presence with the ability to simplify complex analytical concepts into strategic business recommendations. Excellent written, verbal, and presentation skills. Demonstrated ability to influence without authority across diverse stakeholder groups. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team. careers . click apply for full job details
About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications - serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Senior ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro - pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly. This is a foundational hire on a small, high-impact team. Voice inference has unique challenges - streaming audio, tokenization, real-time latency budgets - that require dedicated ML engineering focus. You'll shape how Together serves voice models as the industry moves from pipeline architectures (ASR LLM TTS) toward end-to-end speech-to-speech. Own the model serving stack that powers Together's voice platform across STT, TTS, and speech-to-speech. Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference. Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together's infrastructure. Build quality evaluation frameworks that guide model selection for customers and inform the roadmap. Join a small, early-stage team with outsized impact on a fast-growing product area. Responsibilities Optimize inference performance for voice models (STT, TTS, speech-to-speech) - targeting best-in-class TTFB, throughput, and GPU utilization across our curated model set. Productionize voice models on serverless and dedicated endpoints, including batching strategies, streaming inference, and memory management tailored to audio workloads. Build and maintain a voice model evaluation framework - measuring WER across accents, languages, and noise conditions for STT; naturalness, latency, and pronunciation accuracy for TTS. Enable new model architectures in our serving stack as the field evolves, including audio-native LLMs, codec-based models (SNAC), and speech-to-speech systems. Collaborate with model partners to integrate and optimize their models (Cartesia, Deepgram, Rime, and others) running on Together's infrastructure. Profile and debug performance across the full inference stack - from GPU kernels to framework-level bottlenecks - and ship measurable improvements. Work with the platform engineering side of the team to ensure the serving layer meets the latency and reliability requirements of real-time voice APIs. Contribute to voice model fine-tuning capabilities (STT and TTS) as we enable customers to build differentiated voice experiences on Together. Lay the groundwork for multiple new products down the line. Requirements 5+ years of experience in ML engineering, with a focus on model serving, inference optimization, or ML infrastructure. Hands-on experience with LLM serving engines (vLLM, SGLang, TensorRT-LLM, or similar) - comfortable reading and modifying engine internals, not just using APIs. Strong proficiency in Python and PyTorch; experience with GPU profiling and optimization (CUDA, memory management, kernel-level debugging). Track record of shipping ML systems to production with measurable performance improvements. Strong product sense - you think about what developers building voice apps actually need, not just what's technically interesting. Comfort working on a small, early-stage team where you'll wear multiple hats and move fast. Experience with speech and audio ML (ASR, TTS architectures, audio signal processing) is a strong plus but not required - you can learn this quickly if you have strong ML engineering fundamentals. Familiarity with audio codecs and tokenization schemes (SNAC, Encodec, DAC) is a plus. Experience training or fine-tuning speech models is a plus. Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field, or equivalent practical experience About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200,000 - $260,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at
09/25/2026
Full time
About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications - serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Senior ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro - pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly. This is a foundational hire on a small, high-impact team. Voice inference has unique challenges - streaming audio, tokenization, real-time latency budgets - that require dedicated ML engineering focus. You'll shape how Together serves voice models as the industry moves from pipeline architectures (ASR LLM TTS) toward end-to-end speech-to-speech. Own the model serving stack that powers Together's voice platform across STT, TTS, and speech-to-speech. Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference. Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together's infrastructure. Build quality evaluation frameworks that guide model selection for customers and inform the roadmap. Join a small, early-stage team with outsized impact on a fast-growing product area. Responsibilities Optimize inference performance for voice models (STT, TTS, speech-to-speech) - targeting best-in-class TTFB, throughput, and GPU utilization across our curated model set. Productionize voice models on serverless and dedicated endpoints, including batching strategies, streaming inference, and memory management tailored to audio workloads. Build and maintain a voice model evaluation framework - measuring WER across accents, languages, and noise conditions for STT; naturalness, latency, and pronunciation accuracy for TTS. Enable new model architectures in our serving stack as the field evolves, including audio-native LLMs, codec-based models (SNAC), and speech-to-speech systems. Collaborate with model partners to integrate and optimize their models (Cartesia, Deepgram, Rime, and others) running on Together's infrastructure. Profile and debug performance across the full inference stack - from GPU kernels to framework-level bottlenecks - and ship measurable improvements. Work with the platform engineering side of the team to ensure the serving layer meets the latency and reliability requirements of real-time voice APIs. Contribute to voice model fine-tuning capabilities (STT and TTS) as we enable customers to build differentiated voice experiences on Together. Lay the groundwork for multiple new products down the line. Requirements 5+ years of experience in ML engineering, with a focus on model serving, inference optimization, or ML infrastructure. Hands-on experience with LLM serving engines (vLLM, SGLang, TensorRT-LLM, or similar) - comfortable reading and modifying engine internals, not just using APIs. Strong proficiency in Python and PyTorch; experience with GPU profiling and optimization (CUDA, memory management, kernel-level debugging). Track record of shipping ML systems to production with measurable performance improvements. Strong product sense - you think about what developers building voice apps actually need, not just what's technically interesting. Comfort working on a small, early-stage team where you'll wear multiple hats and move fast. Experience with speech and audio ML (ASR, TTS architectures, audio signal processing) is a strong plus but not required - you can learn this quickly if you have strong ML engineering fundamentals. Familiarity with audio codecs and tokenization schemes (SNAC, Encodec, DAC) is a plus. Experience training or fine-tuning speech models is a plus. Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field, or equivalent practical experience About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200,000 - $260,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at
At J.P. Morgan Asset Management, you will help shape how digital data powers decisions across our business. You will join a collaborative, data driven team that is modernizing how we measure, understand and optimize client experiences across our digital ecosystem. As a Marketing Delivery Lead, Vice President, Web Analytics & Data in the Digital Performance team, you will own the end to end web analytics product strategy across public websites, mobile applications and advisor facing tools. You will bring together business stakeholders, product managers, engineering teams, Business Intelligence partners and an external analytics agency to ensure that digital data collection is accurate, scalable and actionable. You will combine deep technical knowledge of digital tracking with strategic thinking to translate data into insights and drive continuous improvement in digital performance. You will also help shape and scale AI powered web data solutions that deliver predictive and intelligent analytics to the business. You combine strategic thinking with a strong technical foundation in digital measurement. You are comfortable writing detailed tracking and data layer specifications, simplifying complex analytics concepts for senior stakeholders and partnering with BI and AI teams to build new data driven capabilities. You are organized, collaborative and able to influence across functions, and you set a high bar for yourself and for external partners in delivering high quality analytics solutions. Job responsibilities Define and own the web analytics product roadmap, aligning data collection and reporting capabilities with broader business goals and digital KPIs, and acting as the web analytics subject matter expert. Partner with marketing, digital and product teams to establish measurement frameworks and tracking models that support decision making. Author and maintain comprehensive technical tracking requirements for web, mobile app and advisor tool environments, including event taxonomies, data layer specifications and tagging standards. Conduct QA and validation of tracking implementations to ensure data accuracy and integrity across all digital properties. Stay current on browser privacy changes, cookie deprecation and consent management frameworks, and adjust tracking strategies to remain compliant and resilient. Manage the day to day relationship with the external web analytics agency, including briefing on requirements, setting delivery timelines and holding the agency accountable for quality and deadlines. Review and approve agency deliverables to ensure implementations align with J.P. Morgan Asset Management data governance and compliance standards. Pull, interpret and present performance reports for websites and apps using Google Analytics and other analytics platforms, translating data into clear, actionable insights for stakeholders. Proactively identify opportunities to improve digital conversion, engagement and user experience by surfacing trends, anomalies and optimization opportunities from analytics data. Collaborate closely with Business Intelligence and data science teams to design and scale AI powered web data solutions, including predictive analytics, opportunity identification and automated optimization recommendations. Required qualifications, capabilities and skills 5+ years of experience in digital analytics, web analytics or analytics product management. Deep hands on expertise with Google Analytics (GA4) and tag management platforms. Strong experience writing technical tracking specifications for websites, mobile applications and complex digital tools. Demonstrated ability to analyze and interpret web performance data and present findings to both technical and non technical audiences. Experience managing external vendors or agencies, including scoping work, managing timelines and ensuring quality delivery. Solid understanding of data layer architecture, event tracking and digital measurement frameworks. Familiarity with AI/ML concepts and experience partnering with data science or BI teams on analytics solutions. Excellent communication, collaboration and stakeholder management skills, with the ability to operate in a fast paced, matrixed environment. Experience in financial services or another highly regulated industry. Hands on experience with AI or machine learning tools applied to web data. Knowledge of data privacy regulations (such as GDPR and CCPA) and their implications for digital tracking. Familiarity with BI and data visualization tools. Experience with Adobe Analytics in addition to Google Analytics. Preferred qualifications, capabilities and skills Experience in financial services or another highly regulated industry. Hands on experience with AI or machine learning tools applied to web data. Knowledge of data privacy regulations (such as GDPR and CCPA) and their implications for digital tracking. Familiarity with BI and data visualization tools. Experience with Adobe Analytics in addition to Google Analytics. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
09/25/2026
Full time
At J.P. Morgan Asset Management, you will help shape how digital data powers decisions across our business. You will join a collaborative, data driven team that is modernizing how we measure, understand and optimize client experiences across our digital ecosystem. As a Marketing Delivery Lead, Vice President, Web Analytics & Data in the Digital Performance team, you will own the end to end web analytics product strategy across public websites, mobile applications and advisor facing tools. You will bring together business stakeholders, product managers, engineering teams, Business Intelligence partners and an external analytics agency to ensure that digital data collection is accurate, scalable and actionable. You will combine deep technical knowledge of digital tracking with strategic thinking to translate data into insights and drive continuous improvement in digital performance. You will also help shape and scale AI powered web data solutions that deliver predictive and intelligent analytics to the business. You combine strategic thinking with a strong technical foundation in digital measurement. You are comfortable writing detailed tracking and data layer specifications, simplifying complex analytics concepts for senior stakeholders and partnering with BI and AI teams to build new data driven capabilities. You are organized, collaborative and able to influence across functions, and you set a high bar for yourself and for external partners in delivering high quality analytics solutions. Job responsibilities Define and own the web analytics product roadmap, aligning data collection and reporting capabilities with broader business goals and digital KPIs, and acting as the web analytics subject matter expert. Partner with marketing, digital and product teams to establish measurement frameworks and tracking models that support decision making. Author and maintain comprehensive technical tracking requirements for web, mobile app and advisor tool environments, including event taxonomies, data layer specifications and tagging standards. Conduct QA and validation of tracking implementations to ensure data accuracy and integrity across all digital properties. Stay current on browser privacy changes, cookie deprecation and consent management frameworks, and adjust tracking strategies to remain compliant and resilient. Manage the day to day relationship with the external web analytics agency, including briefing on requirements, setting delivery timelines and holding the agency accountable for quality and deadlines. Review and approve agency deliverables to ensure implementations align with J.P. Morgan Asset Management data governance and compliance standards. Pull, interpret and present performance reports for websites and apps using Google Analytics and other analytics platforms, translating data into clear, actionable insights for stakeholders. Proactively identify opportunities to improve digital conversion, engagement and user experience by surfacing trends, anomalies and optimization opportunities from analytics data. Collaborate closely with Business Intelligence and data science teams to design and scale AI powered web data solutions, including predictive analytics, opportunity identification and automated optimization recommendations. Required qualifications, capabilities and skills 5+ years of experience in digital analytics, web analytics or analytics product management. Deep hands on expertise with Google Analytics (GA4) and tag management platforms. Strong experience writing technical tracking specifications for websites, mobile applications and complex digital tools. Demonstrated ability to analyze and interpret web performance data and present findings to both technical and non technical audiences. Experience managing external vendors or agencies, including scoping work, managing timelines and ensuring quality delivery. Solid understanding of data layer architecture, event tracking and digital measurement frameworks. Familiarity with AI/ML concepts and experience partnering with data science or BI teams on analytics solutions. Excellent communication, collaboration and stakeholder management skills, with the ability to operate in a fast paced, matrixed environment. Experience in financial services or another highly regulated industry. Hands on experience with AI or machine learning tools applied to web data. Knowledge of data privacy regulations (such as GDPR and CCPA) and their implications for digital tracking. Familiarity with BI and data visualization tools. Experience with Adobe Analytics in addition to Google Analytics. Preferred qualifications, capabilities and skills Experience in financial services or another highly regulated industry. Hands on experience with AI or machine learning tools applied to web data. Knowledge of data privacy regulations (such as GDPR and CCPA) and their implications for digital tracking. Familiarity with BI and data visualization tools. Experience with Adobe Analytics in addition to Google Analytics. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness. We are seeking a highly skilled and motivated Senior Engineer, Machine Learning to join our dynamic team. The ideal candidate will have experience in data science and machine learning, with a background in working with multiomic and single-cell data and/or image processing and computer vision. This role involves creating, exploring, and analyzing models, as well as applying advanced image processing techniques to drive our research and development efforts and contribute to critical programs. This role will report to Vice President, AI and will be an onsite role at our headquarters in San Diego. If you possess the following and want to make a meaningful impact, we invite you to explore this role. Essential Functions and Responsibilities: Design, develop, and optimize deep learning models (CNNs, Vision Transformers, U-Net variants, and related architectures) for biological image analysis and classification Deploy and maintain production-grade neural network models on cloud infrastructure (e.g., AWS) or directly on imaging instruments, ensuring reliability, scalability, and performance Apply advanced image processing and computer vision techniques to analyze multimodal biological images, including segmentation, feature extraction, and quality scoring Develop and manage end-to-end ML pipelines - from data ingestion and preprocessing through model training, validation, and inference Analyze and interpret single-cell and multiomic data to support biological context and downstream interpretation of imaging results Collaborate with cross-functional teams including biology, software engineering, and instrumentation to co-design experiments and translate biological requirements into modeling objectives Explore and analyze large-scale imaging datasets to identify patterns, failure modes, and opportunities for model improvement Communicate findings, model performance metrics, and technical trade-offs to stakeholders through reports and presentations Stay current with the latest advances in deep learning, computer vision, and computational biology, and evaluate their applicability to internal research problems Education and Experience: Master's degree in Computer Science, Electrical Engineering, Bioinformatics, Computational Biology, or a related field with 5-7 years of relevant experience, or PhD with 0-3 years of experience Hands-on experience developing and deploying deep learning models for image analysis in production environments - either cloud-hosted or on-instrument - is required Strong proficiency with modern deep learning architectures including CNNs, Vision Transformers (ViT), U-Net, and attention-based models; familiarity with self-supervised or contrastive learning methods is a plus Experience with biological or biomedical image modalities (e.g., fluorescence microscopy, brightfield, high-content imaging) is strongly preferred Proficiency in Python and relevant deep learning and data science libraries: PyTorch, torchvision, OpenCV, Scikit-learn, NumPy, Pandas, and related tools Experience with cloud computing platforms (e.g., AWS), including model serving, containerization (Docker), and GPU-accelerated compute Familiarity with model calibration, uncertainty quantification, or performance evaluation frameworks is a plus Experience with single-cell or multiomic data analysis tools and workflows is a plus (not required) Knowledge of experimental design and statistical analysis Strong background in statistics and comfort reasoning about model outputs quantitatively Excellent problem-solving skills, attention to detail, and ability to work across scientific and engineering disciplines Physical Requirements: Frequently moves boxes weighing up to 20 pounds Location: San Diego - on-site Travel: Domestic travel up to 10% Job Type: Full-time/Exempt Base Compensation Pay Range: $139,000 - $183,000 In addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off. Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience. We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.
09/25/2026
Full time
At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness. We are seeking a highly skilled and motivated Senior Engineer, Machine Learning to join our dynamic team. The ideal candidate will have experience in data science and machine learning, with a background in working with multiomic and single-cell data and/or image processing and computer vision. This role involves creating, exploring, and analyzing models, as well as applying advanced image processing techniques to drive our research and development efforts and contribute to critical programs. This role will report to Vice President, AI and will be an onsite role at our headquarters in San Diego. If you possess the following and want to make a meaningful impact, we invite you to explore this role. Essential Functions and Responsibilities: Design, develop, and optimize deep learning models (CNNs, Vision Transformers, U-Net variants, and related architectures) for biological image analysis and classification Deploy and maintain production-grade neural network models on cloud infrastructure (e.g., AWS) or directly on imaging instruments, ensuring reliability, scalability, and performance Apply advanced image processing and computer vision techniques to analyze multimodal biological images, including segmentation, feature extraction, and quality scoring Develop and manage end-to-end ML pipelines - from data ingestion and preprocessing through model training, validation, and inference Analyze and interpret single-cell and multiomic data to support biological context and downstream interpretation of imaging results Collaborate with cross-functional teams including biology, software engineering, and instrumentation to co-design experiments and translate biological requirements into modeling objectives Explore and analyze large-scale imaging datasets to identify patterns, failure modes, and opportunities for model improvement Communicate findings, model performance metrics, and technical trade-offs to stakeholders through reports and presentations Stay current with the latest advances in deep learning, computer vision, and computational biology, and evaluate their applicability to internal research problems Education and Experience: Master's degree in Computer Science, Electrical Engineering, Bioinformatics, Computational Biology, or a related field with 5-7 years of relevant experience, or PhD with 0-3 years of experience Hands-on experience developing and deploying deep learning models for image analysis in production environments - either cloud-hosted or on-instrument - is required Strong proficiency with modern deep learning architectures including CNNs, Vision Transformers (ViT), U-Net, and attention-based models; familiarity with self-supervised or contrastive learning methods is a plus Experience with biological or biomedical image modalities (e.g., fluorescence microscopy, brightfield, high-content imaging) is strongly preferred Proficiency in Python and relevant deep learning and data science libraries: PyTorch, torchvision, OpenCV, Scikit-learn, NumPy, Pandas, and related tools Experience with cloud computing platforms (e.g., AWS), including model serving, containerization (Docker), and GPU-accelerated compute Familiarity with model calibration, uncertainty quantification, or performance evaluation frameworks is a plus Experience with single-cell or multiomic data analysis tools and workflows is a plus (not required) Knowledge of experimental design and statistical analysis Strong background in statistics and comfort reasoning about model outputs quantitatively Excellent problem-solving skills, attention to detail, and ability to work across scientific and engineering disciplines Physical Requirements: Frequently moves boxes weighing up to 20 pounds Location: San Diego - on-site Travel: Domestic travel up to 10% Job Type: Full-time/Exempt Base Compensation Pay Range: $139,000 - $183,000 In addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off. Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience. We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/25/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers, and Roku. The systems and solutions span multiple disciplines and technologies to perform real-time multi-objective optimization across distributed systems at large scale and with low latency. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation, and Inference Platform that powers the entire landscape, which we continuously evolve over time. About the role We are seeking a talented and experienced Senior Software Engineer, MLOps/DevOps, to join the Advertising Performance team and play a critical role in supporting and scaling our Machine Learning infrastructure. The ideal candidate has a strong background in DevOps/SRE practices, cloud infrastructure management, and MLOps tooling - with a passion for building platforms that accelerate ML experimentation and deployment at internet scale. You will partner closely with ML Scientists and Engineers to streamline the end-to-end ML lifecycle across training, evaluation, deployment, and monitoring - on top of a modern, cloud-native stack running on GCP and AWS using Kubernetes, Apache Airflow, Spark, Ray, MLflow, Chronon, etc. For California Only - The estimated annual salary for this position is between $148,750 - $361,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. What you'll be doing Lead the design and operation of scalable, production-grade cloud infrastructure for ML workloads across AWS and GCP, including GPU/TPU-based training and inference environments Architect and improve CI/CD systems for ML models and platform services to enable fast, reliable, and safe production releases Own and evolve low-latency infrastructure for real-time model inference, including KV store and vector databases Define and enforce observability standards for ML systems, including model performance monitoring, drift detection, capacity planning, and pipeline health metrics Participate in on-call rotation, leading incident response and root-cause analysis for critical ML training and serving infrastructure Partner with data scientists and ML engineers to improve platform usability, accelerate model iteration, and implement strong MLOps and SRE best practices Champion operational excellence across ML infrastructure through automation, resilience engineering, disaster recovery planning, and continuous improvement We're excited if you have BS or MS in Computer Science, Engineering, or a related quantitative field Ability to demonstrate AI tool (Claude, Cursor, ChatGPT etc.) coding efficiency at an advanced skill level 8+ years of experience in DevOps, SRE, or ML infrastructure, including 4+ years supporting large-scale ML or AI systems Strong programming skills in Python, and/or Scala, or Java for platform automation and tooling Deep experience with Kubernetes and container orchestration on GCP (GKE) and/or AWS (EKS) Expertise with NoSQL or low-latency data stores such as Aerospike or similar technologies Hands-on experience with data and orchestration technologies such as Apache Spark, Apache Flink, Apache Airflow, and Kafka Experience building and maintaining CI/CD systems using tools such as Jenkins or GitLab Runner Familiarity with feature engineering platforms such as Chronon and model lifecycle tools such as MLflow Strong infrastructure-as-code experience with Terraform or similar tooling Experience with observability platforms such as Prometheus, Grafana, and Datadog Excellent communication and cross-functional collaboration skills Experience in the Advertising domain is a plus What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. What are some of the benefits? Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . What should I know about Roku's culture? Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing .
09/25/2026
Full time
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers, and Roku. The systems and solutions span multiple disciplines and technologies to perform real-time multi-objective optimization across distributed systems at large scale and with low latency. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation, and Inference Platform that powers the entire landscape, which we continuously evolve over time. About the role We are seeking a talented and experienced Senior Software Engineer, MLOps/DevOps, to join the Advertising Performance team and play a critical role in supporting and scaling our Machine Learning infrastructure. The ideal candidate has a strong background in DevOps/SRE practices, cloud infrastructure management, and MLOps tooling - with a passion for building platforms that accelerate ML experimentation and deployment at internet scale. You will partner closely with ML Scientists and Engineers to streamline the end-to-end ML lifecycle across training, evaluation, deployment, and monitoring - on top of a modern, cloud-native stack running on GCP and AWS using Kubernetes, Apache Airflow, Spark, Ray, MLflow, Chronon, etc. For California Only - The estimated annual salary for this position is between $148,750 - $361,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. What you'll be doing Lead the design and operation of scalable, production-grade cloud infrastructure for ML workloads across AWS and GCP, including GPU/TPU-based training and inference environments Architect and improve CI/CD systems for ML models and platform services to enable fast, reliable, and safe production releases Own and evolve low-latency infrastructure for real-time model inference, including KV store and vector databases Define and enforce observability standards for ML systems, including model performance monitoring, drift detection, capacity planning, and pipeline health metrics Participate in on-call rotation, leading incident response and root-cause analysis for critical ML training and serving infrastructure Partner with data scientists and ML engineers to improve platform usability, accelerate model iteration, and implement strong MLOps and SRE best practices Champion operational excellence across ML infrastructure through automation, resilience engineering, disaster recovery planning, and continuous improvement We're excited if you have BS or MS in Computer Science, Engineering, or a related quantitative field Ability to demonstrate AI tool (Claude, Cursor, ChatGPT etc.) coding efficiency at an advanced skill level 8+ years of experience in DevOps, SRE, or ML infrastructure, including 4+ years supporting large-scale ML or AI systems Strong programming skills in Python, and/or Scala, or Java for platform automation and tooling Deep experience with Kubernetes and container orchestration on GCP (GKE) and/or AWS (EKS) Expertise with NoSQL or low-latency data stores such as Aerospike or similar technologies Hands-on experience with data and orchestration technologies such as Apache Spark, Apache Flink, Apache Airflow, and Kafka Experience building and maintaining CI/CD systems using tools such as Jenkins or GitLab Runner Familiarity with feature engineering platforms such as Chronon and model lifecycle tools such as MLflow Strong infrastructure-as-code experience with Terraform or similar tooling Experience with observability platforms such as Prometheus, Grafana, and Datadog Excellent communication and cross-functional collaboration skills Experience in the Advertising domain is a plus What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. What are some of the benefits? Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . What should I know about Roku's culture? Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing .