320 jobs found

Job DescriptionJob Description CNC Programmer - MasterCAM or TopSolid Employment Type: Direct Hire Location: Elk Grove Village, IL Work Schedule: Onsite, Monday through Friday Salary: $75,000 to $95,000 Elevate Your Career as a CNC Programmer-Shaping Precision in Complex Machining Are you a motivated CNC programmer eager to advance your technical expertise in a challenging, dynamic environment? We are seeking a talented individual to join our team and grow into a leading expert in complex, multi-axis machining. This role offers a unique opportunity to work on intricate components, develop advanced programming skills, and take ownership of real production parts-all under the mentorship of seasoned manufacturing leaders. If you're passionate about solving machining challenges, refining your craft, and driving continuous improvement, this is your chance to make a significant impact and further your career! Required Skills: 3-6 years of CNC programming or advanced setup experience in a precision machining environment Proficiency with CAM software, preferably TopSolid, or similar advanced platforms (MasterCAM) Hands-on experience with multi-axis machining (4-axis or 5-axis indexed) Ability to interpret engineering drawings and apply GD&T principles Support for machine prove-outs and troubleshooting of machining issues such as chatter, tool wear, and dimensional variations Strong problem-solving skills and a commitment to continuous learning Nice to Have Skills: Experience with mill-turn or live tooling lathe machining Aerospace or tight-tolerance component experience Familiarity with advanced machining strategies and process documentation Comfort working directly on the shop floor Preferred Education and Experience: Relevant technical training or certifications in CNC programming or manufacturing technology Prior experience supporting complex machining projects in a precision environment Other Requirements: Willingness to collaborate closely with machinists during setup and production runs Dedication to standardizing processes and capturing tribal knowledge Ability to contribute to process improvements and cycle time reductions Comfort working on the shop floor and engaging in hands-on activities Seize this opportunity to grow into a technical leader in precision machining. If you're driven by challenges, eager to learn, and ready to take ownership of complex projects, we encourage you to apply now and become a key player in our innovative team. About Trova Advisory Group Trova Advisory Group specializes in delivering a comprehensive array of staffing solutions tailored to meet the diverse needs of businesses across multiple sectors. Our expertise spans clerical, administrative, financial, and professional roles, offered through flexible arrangements including temporary, temp-to-hire, and direct hire services. We pride ourselves on providing top-tier talent solutions that empower organizations to thrive in today's competitive market. Trova Advisory Group is proud to be an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status. We are committed to fostering an inclusive workplace where all individuals are welcomed and supported. If you require reasonable accommodation during the application or interview process, please contact us at . Include the nature of your request and your contact information. Trova Advisory Group offers a comprehensive benefits package including medical and dental options for all eligible employees.

Job DescriptionJob Description CNC Programmer - MasterCAM or TopSolid Employment Type: Direct Hire Location: Elk Grove Village, IL Work Schedule: Onsite, Monday through Friday Salary: $75,000 to $95,000 Elevate Your Career as a CNC Programmer-Shaping Precision in Complex Machining Are you a motivated CNC programmer eager to advance your technical expertise in a challenging, dynamic environment? We are seeking a talented individual to join our team and grow into a leading expert in complex, multi-axis machining. This role offers a unique opportunity to work on intricate components, develop advanced programming skills, and take ownership of real production parts-all under the mentorship of seasoned manufacturing leaders. If you're passionate about solving machining challenges, refining your craft, and driving continuous improvement, this is your chance to make a significant impact and further your career! Required Skills: 3-6 years of CNC programming or advanced setup experience in a precision machining environment Proficiency with CAM software, preferably TopSolid, or similar advanced platforms (MasterCAM) Hands-on experience with multi-axis machining (4-axis or 5-axis indexed) Ability to interpret engineering drawings and apply GD&T principles Support for machine prove-outs and troubleshooting of machining issues such as chatter, tool wear, and dimensional variations Strong problem-solving skills and a commitment to continuous learning Nice to Have Skills: Experience with mill-turn or live tooling lathe machining Aerospace or tight-tolerance component experience Familiarity with advanced machining strategies and process documentation Comfort working directly on the shop floor Preferred Education and Experience: Relevant technical training or certifications in CNC programming or manufacturing technology Prior experience supporting complex machining projects in a precision environment Other Requirements: Willingness to collaborate closely with machinists during setup and production runs Dedication to standardizing processes and capturing tribal knowledge Ability to contribute to process improvements and cycle time reductions Comfort working on the shop floor and engaging in hands-on activities Seize this opportunity to grow into a technical leader in precision machining. If you're driven by challenges, eager to learn, and ready to take ownership of complex projects, we encourage you to apply now and become a key player in our innovative team. About Trova Advisory Group Trova Advisory Group specializes in delivering a comprehensive array of staffing solutions tailored to meet the diverse needs of businesses across multiple sectors. Our expertise spans clerical, administrative, financial, and professional roles, offered through flexible arrangements including temporary, temp-to-hire, and direct hire services. We pride ourselves on providing top-tier talent solutions that empower organizations to thrive in today's competitive market. Trova Advisory Group is proud to be an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status. We are committed to fostering an inclusive workplace where all individuals are welcomed and supported. If you require reasonable accommodation during the application or interview process, please contact us at . Include the nature of your request and your contact information. Trova Advisory Group offers a comprehensive benefits package including medical and dental options for all eligible employees.

Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree 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: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 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 . click apply for full job details

Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree 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: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 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 . click apply for full job details

Distinguished AI Engineer (Agentic AI Platform) 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for 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 . click apply for full job details

Distinguished AI Engineer (Agentic AI Platform) 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for 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 . click apply for full job details

Job DescriptionJob Description Data Engineer III - Top Secret, SCI Eligible - MUST HAVE SECURITY CLEARANCE - PLEASE DO NOT APPLY UNLESS YOU HOLD A TS WITH SCI ELIGIBILITY Position Summary: Position Description: Data Engineer III Location: National Capital Region Work Posture: On-site Travel: Occasional Deployment: No Drug screening: Yes Security Clearance: Citizenship: Top Secret, SCI Eligible - MUST HAVE SECURITY CLEARANCE Must be a U.S. Citizen Education Bachelor's Degree Required Experience 10+ years in the field of Data Science or Data Engineering. 3+ years designing and deploying full-stack web services. environments to include NIPR, SIPR, and JWICS. 10+ years of technical experience supporting DoD/IC data systems and enterprise architecture. Proven ability to design, model, and engineer data architectures across multi-classification environments. Experience supporting compartmented/SAP analytical platforms, operational reporting systems, and system accreditation efforts. Skilled in cataloging, storing, and maintaining sensitive data, including multi-sensor and multi-level UAP reporting. Experience supporting RDT&E oversight, data-source integration, and DoD/IC data-sharing requirements. Familiarity with applying AI/ML technologies to improve data management, analytics, and mission support. Strong background in technical advising, weekly coordination, and daily system development support. Salary: Commensurate with experience Responsibilities: SANCORP is seeking a Data Engineer III to provide Administrative, Analytic, Scientific, Information Technology and Subject Matter Expertise Support Services in direct support to Research, Development, Test & Evaluation Activities within Office of the Under Secretary of War for Intelligence and Security (OUSW(I&S . The following are examples of responsibilities: Serve as the data architecture, knowledge management focal point, and Senior advisor responsible for creating, coordinating and managing diverse information systems up to and including information requiring compartment and special access protection. Provide daily technical expertise, advice, and support for the development and delivery of enterprise data architecture strategies including data modeling, design, data engineering and implementation solutions to meet enterprise level data architecture challenges. Provide technical expertise, advice, and support for the design, coordination, management and implementation, and oversight of a common analytical platform capable of using compartmented and special access information, to include DoD-wide efforts to gain system accreditation. Provide technical expertise, advice, and support for the design, coordination, management, implementation, operation, and oversight of a common operational reporting system. Provide technical expertise, advice, and support required to ensure that UAP incident reporting is appropriately cataloged, stored, curated, and maintained, to include sensor data from multiple platforms and data at multiple classification levels. In total, the provision of technical expertise, advice, and support would entail attending weekly meetings to coordinate efforts and advise, assisting in coding on a weekly basis, and identifying key areas needed for development on a daily review basis. Support the technical oversight of OUSW(I&S) sponsored RDT&E projects and activities on a monthly basis. Support the identification of disparate data-sources and data sharing requirements necessary to coordinate data import and exchange with DoD Components, the Intelligence Community, and NDFDAs on a monthly basis. Provide technical expertise, advice, and support required to identify, recommend, and implement Artificial Intelligence/Machine Learning (AI/ML) technologies to improve data management and analysis support for the OUSW(I&S) mission. Assist government lead in developing and preparing documentation for procurement packages, such as Statements of Work (SOW) and Performance Work Statements (PWS), Sole Source Justifications and Brand Name Justifications, Market Analysis and Research, Reviewing Cost Estimates and Quality Assurance Plans to ensure accuracy, completeness, and consistency. General Support: Provide advice, recommendations, and document preparation support to multiple offices across various disciplines, ensuring seamless acquisition processes and compliance with regulatory requirements. Develop and coordinate OSD staff packages, including for time-sensitive requirements, for DIR OUSW(I&S) review and decision. Sancorp Consulting LLC shall, in its discretion, modify or adjust the position to meet Sancorp's changing needs. This job description is not a contract and may be adjusted as deemed appropriate at Sancorp's sole discretion. Sancorp Consulting, LLC, is an SDVOSB and SBA 8(a) company seeking highly motivated and qualified professionals and offer an attractive salary and benefits package that includes: Medical, Dental, life and Disability Insurance; 401K, and holidays to ensure the highest quality of life for our employees. Please visit our website for more information at . Sancorp Consulting, LLC is an equal opportunity employer. At Sancorp Consulting, LLC we are committed to providing equal employment opportunities (EEO) to all employees and applicants without regard to race color, religion, sex, national origin, age, disability, or any other protected characteristic as defined by applicable law. We strive to create an inclusive and diverse workplace where everyone feels valued, respected, and supported.

Job DescriptionJob Description Black Cape Title: Driven Data Engineer (2+ years - Senior Level) Locations: Arlington / Pentagon, VA, Reston, VA and areas throughout the DMV area ONSITE: Ability to go ONSITE 3-5 days per week Clearance: MUST have an Active TS/SCI clearance MUST HAVE an Active TS/SCI clearance If you do NOT have a US Citizenship AND a Security Clearance issued by a US Government Customer, we will likely not get back to you. It is a REQUIREMENT of the job. Black Cape has Won "Best Places to Work" every year in existence by either the Washington Business Journal & Virginia's Best Places to Work! Want to be a part of an intelligent, talented, dynamic, and FUN team and keep building something GREAT Then, you should consider Black Cape! We work with Department of Defense (DoW) and Intelligence Community (IC) customers to accomplish their missions Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and machine learning capabilities Be a part of a team that is making an impact and HAVE FUN while doing so! About the company: Black Cape is a unique technology company with a focus on full-stack web applications, advanced data analysis tools, and integrating AI/ML capabilities for federal government customers. We are a COOL and FUN crew that works hard and plays maybe even a little harder. Our core team is an impressive group of engineers with exceptional leadership at the helm. Black Cape is led by proven business and engineering leaders with a track record of building innovative technology companies focused on building mission applications. We support many programs and agencies as both a prime and a subcontractor and created a strong reputation working with top tier partners doing work for all major Intelligence Community agencies, DoW, and Special Operations customers. Our engineer-led software teams develop technical solutions on an aggressive schedule across the DoW and IC to meet customer needs. Our engineers apply proven, repeatable software, technical, and analytical approaches to build solutions and have frequent interaction with end users to produce and deploy solutions. We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow, Python scikit-learn, and other tools. Black Cape's approach to solution development combines lessons learned from developing and deploying applications to customer cloud environments with industry best practices in Agile development and DevOps. What we are Hiring: Exceptional Data Engineers to ensure data availability (movement, modification, and storage) with Software Engineers and Data Scientists ensuring deployments and scalability for critical users We are considering Mid to Senior Level Data Engineers. We are expanding and need to hire motivated data engineers to help build innovative solutions for our customers. The ideal candidate needs limited direction and must be passionate about technology. A willingness and desire to pick up new technologies or languages quickly is a must. Our team builds and deploys cutting-edge AI and Machine Learning applications that directly support national security missions. We leverage the Databricks platform for advanced data science and engineering, and transform complex model outputs into compelling, interactive dashboards using Qlik. These solutions are built to empower 19 key Principal Staff members (Senior Executive Service members and General Officers) within the Office of the Undersecretary of Defense (OUSD) and the Intelligence community. Our products provide them with the critical, data-driven insights needed for strategic decision-making. Our work is grounded in successful deployments on JWICS, NIPR, SIPR utilizing AWS, combining commercial best practices in an Agile environment to ensure we deliver impactful capabilities to senior defense leadership. Required Technical Skills (MUST HAVES): 3+ years of professional experience needed for MOST of our opportunities Python experience with data manipulation, scripting, and more Databricks experience Proficient in designing and implementing Extract Transform Load (ETL) data processes Experience with at least ONE relational database, such as PostgreSQL, MySQL or SQLite Experience with Agile SCRUM methodologies Preferred Technical Skills (NICE TO HAVES): Familiar with database design, server management, connection protocols, database normalization, and principles of information theory Experience with data cleaning or data organization Familiar with NiFi, SQL, NoSQL and Graph Databases and Data Lakes Familiar with Dashboarding tools similar to Qlik Familiar with Cybersecurity with design and implementation of unique data transfer protocols Great Benefits 401K Competitive Salary Generous Time Off Exceptional Team-Building & Fun Company Events Mentorship & Professional Development Programs Tuition Reimbursement Parental Policy CONTACT: Please Apply Here! We will contact you if you are a good fit. Powered by JazzHR kTfbplA1mJ

Job DescriptionJob Description Black Cape Title: Driven Data Engineer (2+ years - Senior Level) Locations: Arlington / Pentagon, VA, Reston, VA and areas throughout the DMV area ONSITE: Ability to go ONSITE 3-5 days per week Clearance: MUST have an Active TS/SCI clearance MUST HAVE an Active TS/SCI clearance If you do NOT have a US Citizenship AND a Security Clearance issued by a US Government Customer, we will likely not get back to you. It is a REQUIREMENT of the job. Black Cape has Won "Best Places to Work" every year in existence by either the Washington Business Journal & Virginia's Best Places to Work! Want to be a part of an intelligent, talented, dynamic, and FUN team and keep building something GREAT Then, you should consider Black Cape! We work with Department of Defense (DoW) and Intelligence Community (IC) customers to accomplish their missions Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and machine learning capabilities Be a part of a team that is making an impact and HAVE FUN while doing so! About the company: Black Cape is a unique technology company with a focus on full-stack web applications, advanced data analysis tools, and integrating AI/ML capabilities for federal government customers. We are a COOL and FUN crew that works hard and plays maybe even a little harder. Our core team is an impressive group of engineers with exceptional leadership at the helm. Black Cape is led by proven business and engineering leaders with a track record of building innovative technology companies focused on building mission applications. We support many programs and agencies as both a prime and a subcontractor and created a strong reputation working with top tier partners doing work for all major Intelligence Community agencies, DoW, and Special Operations customers. Our engineer-led software teams develop technical solutions on an aggressive schedule across the DoW and IC to meet customer needs. Our engineers apply proven, repeatable software, technical, and analytical approaches to build solutions and have frequent interaction with end users to produce and deploy solutions. We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow, Python scikit-learn, and other tools. Black Cape's approach to solution development combines lessons learned from developing and deploying applications to customer cloud environments with industry best practices in Agile development and DevOps. What we are Hiring: Exceptional Data Engineers to ensure data availability (movement, modification, and storage) with Software Engineers and Data Scientists ensuring deployments and scalability for critical users We are considering Mid to Senior Level Data Engineers. We are expanding and need to hire motivated data engineers to help build innovative solutions for our customers. The ideal candidate needs limited direction and must be passionate about technology. A willingness and desire to pick up new technologies or languages quickly is a must. Our team builds and deploys cutting-edge AI and Machine Learning applications that directly support national security missions. We leverage the Databricks platform for advanced data science and engineering, and transform complex model outputs into compelling, interactive dashboards using Qlik. These solutions are built to empower 19 key Principal Staff members (Senior Executive Service members and General Officers) within the Office of the Undersecretary of Defense (OUSD) and the Intelligence community. Our products provide them with the critical, data-driven insights needed for strategic decision-making. Our work is grounded in successful deployments on JWICS, NIPR, SIPR utilizing AWS, combining commercial best practices in an Agile environment to ensure we deliver impactful capabilities to senior defense leadership. Required Technical Skills (MUST HAVES): 3+ years of professional experience needed for MOST of our opportunities Python experience with data manipulation, scripting, and more Databricks experience Proficient in designing and implementing Extract Transform Load (ETL) data processes Experience with at least ONE relational database, such as PostgreSQL, MySQL or SQLite Experience with Agile SCRUM methodologies Preferred Technical Skills (NICE TO HAVES): Familiar with database design, server management, connection protocols, database normalization, and principles of information theory Experience with data cleaning or data organization Familiar with NiFi, SQL, NoSQL and Graph Databases and Data Lakes Familiar with Dashboarding tools similar to Qlik Familiar with Cybersecurity with design and implementation of unique data transfer protocols Great Benefits 401K Competitive Salary Generous Time Off Exceptional Team-Building & Fun Company Events Mentorship & Professional Development Programs Tuition Reimbursement Parental Policy CONTACT: Please Apply Here! We will contact you if you are a good fit. Powered by JazzHR kTfbplA1mJ

Job DescriptionJob Description Kalman & Company is seeking a highly motivated, performance-driven individual with strong data analysis experience to work closely with our Department of Defense (DoD) client in the Northern VA area. Successful candidates will have excellent communication, quantitative, research, and analytical skills and the capability to lead, or principally contribute to, several of the largest and most significant studies in the company's portfolio. Experience in financial management, logistics, engineering, and/or program management domains are also preferred. As part of our team, you'll help our Government clients make well-informed, data-driven decisions on some of the most impactful challenges facing the DoD. On-site support will be required as needed in the Quantico, VA and Stafford, VA areas. A career with Kalman & Company is both rewarding and challenging. Our clients require skilled, hardworking, and innovative professionals who can meet the demands of a dynamic and fast-paced workplace. The analyst position will include, but is not limited to, the following capabilities: Essential Job Functions: Architect, design, code, and implement next-generation data analytics using best practices in the latest technologies. Develop solutions to enable metadata/rules engine-driven data analytics application leveraging open source and/or cloud native components. Develop solutions in a highly collaborative and agile environment. Lead efforts in collecting, normalizing, and analyzing complex data. Work directly with stakeholders to understand their needs and requirements and apply these to the build/test phase of reports and dashboards. Identify opportunities to streamline reporting to make processes more automated and less manual. Develop and manage business intelligence solutions for the organization. Utilize data visualization tools like Power BI to deliver solutions sourcing a variety of data. Build data visualizations including dashboards and reports. Document data profiling and quality assurance results, data dictionaries and analytical findings. Use data to create predictive models and trend analysis. Collaborate with colleagues for the purpose of collecting and structuring data. Collect, audit, compile, and validate data from multiple sources. Interpret data, analyze results using statistical techniques or relational databases and produce ongoing as-needed reports to meet client and/or business needs. Communicate and work with diverse organizations and representatives for data collection, analysis, and results presentation. Provide thought leadership clearly demonstrating an understanding of the customer mission and innovative ideas to address business challenges of the customer. Work autonomously and as part of a team to meet organizational and project goals. Lead in the preparation of briefing materials and other communications packages presenting the results of analysis. Support on-site delivery in the Quantico and Stafford areas. Skills and Qualifications Required: US Citizenship is required. Active Secret Security Clearance or ability to obtain a Secret Security Clearance. Proficiency in Microsoft Excel and experience working with large data sets. Advanced Microsoft Power BI skills, to include demonstrated development of models and data architectures using DAX and Power Query editor. Excellent data gathering and analytical skills. Excellent oral and written communication skills. Have a strong understanding of DoD systems and processes. Ability to lead detail-oriented tasks and multi-task under minimal supervision. Education and Experience: Bachelor's degree in Mathematics, Statistics, Computer Science, Physical Science, Engineering or related field 5+ years of experience supporting solutions implemented in DoD. Experience in statistical modeling. Experience with Power BI, Power Query, Power Automate, Power Apps, MS Excel, Python, and SQL. Experience using Python or R packages and libraries (e.g., scikit-learn, pandas, plotly, shiny, etc.) to develop predictive analyses and machine learning models.: Preferred Experience: Preferred: Experience with cloud computing/storage, data lakes/warehouses. Preferred: Experience with Spark and ML applications. Preferred: Experience with Scala, Java Preferred: Experience with Robotic Process Automation (RPA) (e.g., UiPath) Preferred: Experience with Natural Language Processing (NLP) Preferred: Experience in Databricks

Job DescriptionJob Description About the Company: At SK Hynix Memory Solutions, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team: At SK Hynix Memory Solutions, our team's dedication to advancing enterprise SSD technologies through rigorous PCIe NVMe validation and testing has established us as industry leaders. Our focus on system-level tests, feature validation, and meticulous bug analysis underpins the reliability of our products. With expertise in testing and debugging embedded systems, we ensure that our enterprise PCIe NVMe SSD products meet the highest standards. Key Responsibilities Lead a team to design, implement and execute comprehensive test plans for PCIe and NVMe enterprise solid-state drives (eSSDs). Manage test plans, oversee the progress of testing, identify potential issues, and report findings to ensure compliance with design specifications, as well as with customer standards and requirements. Perform initial triage of failures and collaborate closely with other teams, including SOC, FW, and HW, to address and resolve failures with coordinated efforts. Perform test gap analysis to ensure seamless integration and reliability of the product Work with FAE/CAE to address customer inquiries, debug and resolve issues by maintaining clear communication and prompt responses. Foster open communication channels to facilitate efficient problem-solving and enhance the overall product quality. Minimum Qualifications Proficient in NVMe, PCIe, NVMe-MI and SMBus protocols Experience with bus analyzers and trace evaluation tools is required 5+ years of storage-related experience is required Strong proficiency in programming languages such as python AND C and C++ is required Preferred Qualifications Knowledge of Linux Kernel and drivers is a plus Knowledge of NAND is a plus Experience with Embedded firmware Strong understanding of storage architectures and system-level debugging is also beneficial. COMPENSATION: $110,000/yr - $175,000/yr REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.

Job DescriptionJob Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team: At SK hynix, our team's dedication to advancing enterprise SSD technologies through rigorous PCIe NVMe validation and testing has established us as industry leaders. Our focus on system-level tests, feature validation, and meticulous bug analysis underpins the reliability of our products. With expertise in testing and debugging embedded systems, we ensure that our enterprise PCIe NVMe SSD products meet the highest standards. Responsibilities Design and conduct comprehensive test and validation plans for PCIe and NVMe enterprise solid-state drives (eSSDs). Implement coordinated efforts to debug and resolve eSSD issues and system issues. Oversee the progress of testing and validating, identify potential issues, ensure compliance with design specifications, as well as with customer standards and requirements. Collaborate closely with other teams, including SOC, FW, HW, SQA, CAE, and FAE, to address and resolve product challenges. Understand industry spec and customers spec, perform test gap analysis to ensure seamless integration and reliability. Foster open communication channels to facilitate efficient problem-solving and enhance the overall product quality. Provide customer support. Address customer inquiries, resolve issues, and ensure customer satisfaction by maintaining clear communication and prompt responses. Minimum Qualifications Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field. Proficient in PCIe, NVMe, OCP, NVMe-MI, and/or SMBus protocols. Proficient in programming languages such as python, C/C++, etc. 3+ years of storage-related experience. Experience with bus analyzers and trace evaluation tools. Preferred Qualifications Knowledge of Linux Kernel and drivers is a plus. Strong understanding of SSD and storage architectures is a plus. Strong failure analysis and system-level debugging skill is preferred. Experience with Embedded firmware Experience with lab equipment and tools. COMPENSATION: $110,000/yr - $210,000/yr REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.

Job DescriptionJob DescriptionHigh-definition 3D maps are critical for enabling fully autonomous driving. We are looking for highly motivated individuals who enjoy solving challenging real-world problems and leading projects. You will act as a technical lead on the 3D Mapping team, a diverse set of engineers who are working together to build large-scale HD mapping algorithms, processes, and pipelines. Your technical leadership will be critical as the team rapidly scales the rate at which we map new cities and the rate at which we update maps.In this role, you will: Design and develop novel algorithms and ML models for 2D/3D machine perception and mapping in real-world environments Contribute to large-scale, automated mapping pipelines Be a technical leader on the team, maintaining coding and ML development best practices and making architectural decisions Help to set the vision for the team and build out technical roadmaps Coordinate cross-functional initiatives and collaborate with engineers from Mapping, Perception, Planner, Simulation, Data Science, and more Drive the use of metrics and tools to guide development, validate algorithms, and measure progress Qualifications: MS or PhD or equivalent experience (5+ years) in Computer Science or related field Experience in computer vision or robotics Experience with training and deploying deep learning models Proficiency in Python and/or C++ Experience leading cross-functional projects Bonus Qualifications: Experience with high definition (HD) maps Experience with 3D computer vision, 3D reconstruction, or SLAM Experience with geospatial data and coordinate systems There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionHigh-definition 3D maps are critical for enabling fully autonomous driving. We are looking for highly motivated individuals who enjoy solving challenging real-world problems and leading projects. You will act as a technical lead on the 3D Mapping team, a diverse set of engineers who are working together to build large-scale HD mapping algorithms, processes, and pipelines. Your technical leadership will be critical as the team rapidly scales the rate at which we map new cities and the rate at which we update maps.In this role, you will: Design and develop novel algorithms and ML models for 2D/3D machine perception and mapping in real-world environments Contribute to large-scale, automated mapping pipelines Be a technical leader on the team, maintaining coding and ML development best practices and making architectural decisions Help to set the vision for the team and build out technical roadmaps Coordinate cross-functional initiatives and collaborate with engineers from Mapping, Perception, Planner, Simulation, Data Science, and more Drive the use of metrics and tools to guide development, validate algorithms, and measure progress Qualifications: MS or PhD or equivalent experience (5+ years) in Computer Science or related field Experience in computer vision or robotics Experience with training and deploying deep learning models Proficiency in Python and/or C++ Experience leading cross-functional projects Bonus Qualifications: Experience with high definition (HD) maps Experience with 3D computer vision, 3D reconstruction, or SLAM Experience with geospatial data and coordinate systems There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing! We are looking for a Senior Engineer, RTL Memory Centric Computing. This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware-software co-design. Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy. What You'll Do Develop IP for memory centric computing systems using Verilog, System Verilog and HLS Optimize the IP for performance, power, and area by leveraging advanced design techniques such as pipelining, parallelism, and data compression. Collaborate with Verification engineers to design and develop test plans Make design decisions out of a large design trade-off space across performance, power, thermal, and cost. Troubleshoot and debug hardware issues and ensure the quality of the design through verification and validation. Stay up-to-date with the latest advancements in machine learning and hardware architecture and contribute to the development of new technologies. Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget Complete other responsibilities as assigned. What You Bring Bachelor's with 10+ years, or Master's with 8+ years, or PhD's with 5+ years of industry experience. Strong background in microarchitecture and computer architecture 5+ years of experience in front-end design methodology involving RTL development for complex control and data path IPs Experience in designing Memory Controller, NOC, Interconnect IP Experience in Memory Centric computing IP and SOC integration Experience in AI/ML workloads. Strong analytical and problem-solving skills Excellent communication and interpersonal skills Ability to work independently and as part of a team You're inclusive, adapting your style to the situation and diverse global norms of our people. An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. You're collaborative, building relationships, humbly offering support and openly welcoming approaches. Innovative and creative, you proactively explore new ideas and adapt quickly to change What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way-including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range$163,000-$253,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate's genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung-or encourage Samsung to use-any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy

Job DescriptionJob Description Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation Evaluate and drive adoption of state-of-the-art perception models Promote best practices in architecture, design, and testing to deliver high-quality, scalable software Optimize deep neural networks and associated data processing to run efficiently on embedded systems Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements Requirements: 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years of experience in a technical leadership role Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc. Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment Publications in your field (CVPR, ICCV, RSS, ICRA preferred) Bonus Qualifications: Experience using YOLO, Faster/Mask R-CNN Experience developing ML models for 3 or 6 dof pose estimation This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. Anticipated Salary Range$207,000-$323,000 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now:

Job DescriptionJob DescriptionAbout Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an "enterprise startup to bet your career on" Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the best company for remote workers Responsibilities As we work towards building out the Context Layer for the Agentic Enterprise, we are looking for an exceptional Search/AI Engineer with experience in Search Relevance to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You'll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. In this role, you will also be responsible for: Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning Collaborate with product and applied research teams to translate user needs into data-informed search innovations Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack RequirementsQualifications / Experience / Technical Skills Bachelor's/Master's/PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields Strong proficiency in Python Hands-on experience with search engines (Opensearch or Elasticsearch) Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models) Experience with text processing, NLP, and relevance tuning Experience with relevance evaluation metrics (NDCG, MRR, MAP) Experience with large-scale distributed systems Proficiency in Knowledge Graph construction and optimization is a plus Strong analytical and problem-solving skills Soft Skills / Personal Characteristics Strong communication abilities to explain technical concepts Collaborative mindset for cross-functional teamwork Detail-oriented with strong focus on quality Self-motivated and able to work independently Passion for solving complex search problems (REQ ID: 2472)

Job DescriptionJob DescriptionAbout Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an "enterprise startup to bet your career on" Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the best company for remote workers Responsibilities As we work towards building out the Context Layer for the Agentic Enterprise, we are looking for an exceptional Search/AI Engineer with experience in Search Relevance to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You'll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. In this role, you will also be responsible for: Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning Collaborate with product and applied research teams to translate user needs into data-informed search innovations Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack RequirementsQualifications / Experience / Technical Skills Bachelor's/Master's/PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields Strong proficiency in Python Hands-on experience with search engines (Opensearch or Elasticsearch) Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models) Experience with text processing, NLP, and relevance tuning Experience with relevance evaluation metrics (NDCG, MRR, MAP) Experience with large-scale distributed systems Proficiency in Knowledge Graph construction and optimization is a plus Strong analytical and problem-solving skills Soft Skills / Personal Characteristics Strong communication abilities to explain technical concepts Collaborative mindset for cross-functional teamwork Detail-oriented with strong focus on quality Self-motivated and able to work independently Passion for solving complex search problems (REQ ID: 2472)

Job DescriptionJob DescriptionAbout Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an "enterprise startup to bet your career on" Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the best company for remote workers Responsibilities As we work towards building out the Context Layer for the Agentic Enterprise, we are looking for an exceptional Search/AI Engineer with experience in Search Relevance to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You'll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. In this role, you will also be responsible for: Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning Collaborate with product and applied research teams to translate user needs into data-informed search innovations Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack RequirementsQualifications / Experience / Technical Skills Bachelor's/Master's/PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields Strong proficiency in Python Hands-on experience with search engines (Opensearch or Elasticsearch) Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models) Experience with text processing, NLP, and relevance tuning Experience with relevance evaluation metrics (NDCG, MRR, MAP) Experience with large-scale distributed systems Proficiency in Knowledge Graph construction and optimization is a plus Strong analytical and problem-solving skills Soft Skills / Personal Characteristics Strong communication abilities to explain technical concepts Collaborative mindset for cross-functional teamwork Detail-oriented with strong focus on quality Self-motivated and able to work independently Passion for solving complex search problems (REQ ID: 2472)

Job DescriptionJob DescriptionAbout Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an "enterprise startup to bet your career on" Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the best company for remote workers Responsibilities As we work towards building out the Context Layer for the Agentic Enterprise, we are looking for an exceptional Search/AI Engineer with experience in Search Relevance to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You'll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. In this role, you will also be responsible for: Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning Collaborate with product and applied research teams to translate user needs into data-informed search innovations Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack RequirementsQualifications / Experience / Technical Skills Bachelor's/Master's/PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields Strong proficiency in Python Hands-on experience with search engines (Opensearch or Elasticsearch) Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models) Experience with text processing, NLP, and relevance tuning Experience with relevance evaluation metrics (NDCG, MRR, MAP) Experience with large-scale distributed systems Proficiency in Knowledge Graph construction and optimization is a plus Strong analytical and problem-solving skills Soft Skills / Personal Characteristics Strong communication abilities to explain technical concepts Collaborative mindset for cross-functional teamwork Detail-oriented with strong focus on quality Self-motivated and able to work independently Passion for solving complex search problems (REQ ID: 2472)