A leading AI technology company in San Francisco is looking for a Machine Learning Engineer to leverage generative AI and computer vision techniques to enhance its products. The role involves deploying advanced models in government applications, collaborating on product enhancements, and maintaining state-of-the-art infrastructure. Applicants should have extensive experience in ML production environments, strong skills in Python, and familiarity with TensorFlow or PyTorch. Competitive compensation is provided, along with comprehensive benefits including health coverage and learning stipends.
04/02/2026
Full time
A leading AI technology company in San Francisco is looking for a Machine Learning Engineer to leverage generative AI and computer vision techniques to enhance its products. The role involves deploying advanced models in government applications, collaborating on product enhancements, and maintaining state-of-the-art infrastructure. Applicants should have extensive experience in ML production environments, strong skills in Python, and familiarity with TensorFlow or PyTorch. Competitive compensation is provided, along with comprehensive benefits including health coverage and learning stipends.
A leading AI technology firm in San Francisco is seeking a Senior Backend Engineer to own major backend systems for cutting-edge AI applications. The candidate should have at least 5 years of software engineering experience, with strong skills in distributed systems, API design, and Docker environments. Responsibilities include building scalable services and pipelines and collaborating cross-functionally with product and research teams. This position offers competitive compensation and various benefits, including health coverage and professional development opportunities.
04/02/2026
Full time
A leading AI technology firm in San Francisco is seeking a Senior Backend Engineer to own major backend systems for cutting-edge AI applications. The candidate should have at least 5 years of software engineering experience, with strong skills in distributed systems, API design, and Docker environments. Responsibilities include building scalable services and pipelines and collaborating cross-functionally with product and research teams. This position offers competitive compensation and various benefits, including health coverage and professional development opportunities.
The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. What You'll Do Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment. Build scalable services and pipelines that support agent workflows (e.g., coding, tool use orchestration, GUI/computer use tasks), with strong reliability and observability. Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces. Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity. Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems. Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization. Raise the engineering bar through design reviews, code reviews, and pragmatic best practices. Ideal Experience 5+ years of full time software engineering experience (post graduation). Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability. Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container based services). Demonstrated ability to ship quickly in ambiguous, fast changing environments (high growth startup experience is a plus). Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar. Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued). Proficiency with SQL and modern database backed application development. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $216,200 - $270,250 USD. PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
04/02/2026
Full time
The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. What You'll Do Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment. Build scalable services and pipelines that support agent workflows (e.g., coding, tool use orchestration, GUI/computer use tasks), with strong reliability and observability. Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces. Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity. Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems. Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization. Raise the engineering bar through design reviews, code reviews, and pragmatic best practices. Ideal Experience 5+ years of full time software engineering experience (post graduation). Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability. Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container based services). Demonstrated ability to ship quickly in ambiguous, fast changing environments (high growth startup experience is a plus). Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar. Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued). Proficiency with SQL and modern database backed application development. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $216,200 - $270,250 USD. PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting edge models to mission critical government systems through products like Donovan and Thunderforge. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large scale fine tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. Responsibilities Take state of the art models developed internally and from the community, and use them in production to solve problems for our customers and taskers. Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics. Collaborate with product and research teams to identify and prototype ML driven product enhancements, including for upcoming product lines. Work with massive datasets to develop both generic models and fine tune models for specific products. Build scalable machine learning infrastructure to automate and optimize our ML services. Serve as a cross functional representative and advocate for machine learning techniques across engineering and product organizations. Be comfortable learning new technologies quickly and managing multiple priorities in a fast paced environment. This role will require an active security clearance or the ability to obtain a security clearance. Qualifications Extensive experience using computer vision, deep learning, and deep reinforcement learning, or natural language processing in a production environment. Solid background in algorithms, data structures, and object oriented programming. Strong programming skills in Python, experience in TensorFlow or PyTorch. Nice to Have Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization. Experience working with cloud platforms (e.g., AWS or GCP) and deploying machine learning models in cloud environments. Experience with computer vision, generative AI models, large language models, or agentic systems. Familiarity with ML evaluation frameworks and agentic model design. Compensation and Benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $208,000 - $300,000 USD. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the locations of Washington DC, Texas, Colorado is: $187,000 - $270,000 USD. Note Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies, including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
04/02/2026
Full time
The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting edge models to mission critical government systems through products like Donovan and Thunderforge. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large scale fine tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. Responsibilities Take state of the art models developed internally and from the community, and use them in production to solve problems for our customers and taskers. Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics. Collaborate with product and research teams to identify and prototype ML driven product enhancements, including for upcoming product lines. Work with massive datasets to develop both generic models and fine tune models for specific products. Build scalable machine learning infrastructure to automate and optimize our ML services. Serve as a cross functional representative and advocate for machine learning techniques across engineering and product organizations. Be comfortable learning new technologies quickly and managing multiple priorities in a fast paced environment. This role will require an active security clearance or the ability to obtain a security clearance. Qualifications Extensive experience using computer vision, deep learning, and deep reinforcement learning, or natural language processing in a production environment. Solid background in algorithms, data structures, and object oriented programming. Strong programming skills in Python, experience in TensorFlow or PyTorch. Nice to Have Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization. Experience working with cloud platforms (e.g., AWS or GCP) and deploying machine learning models in cloud environments. Experience with computer vision, generative AI models, large language models, or agentic systems. Familiarity with ML evaluation frameworks and agentic model design. Compensation and Benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $208,000 - $300,000 USD. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the locations of Washington DC, Texas, Colorado is: $187,000 - $270,000 USD. Note Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies, including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
A leading AI technology firm in Washington, DC is seeking a Machine Learning Engineer to enhance their innovative products using generative AI and computer vision methodologies. The ideal candidate will drive the deployment of advanced models in production environments tailored for governmental applications. Responsibilities include optimizing ML services and collaborating on product enhancements. Candidates should have a strong background in AI, be proficient in Python programming, and have experience with frameworks such as TensorFlow and PyTorch. Competitive salary and benefits offered.
04/02/2026
Full time
A leading AI technology firm in Washington, DC is seeking a Machine Learning Engineer to enhance their innovative products using generative AI and computer vision methodologies. The ideal candidate will drive the deployment of advanced models in production environments tailored for governmental applications. Responsibilities include optimizing ML services and collaborating on product enhancements. Candidates should have a strong background in AI, be proficient in Python programming, and have experience with frameworks such as TensorFlow and PyTorch. Competitive salary and benefits offered.
Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre training, fine tuning, and production evaluations. This is the main innovation that enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Platform Engineering At the foundation of these products is the Platform Engineering team. In this role, you will help support the design and development of core platforms and software systems, while supporting identity, access management, authorization, and authentication. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the architecture, design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Directly manage or mentor small teams of software engineers ranging from new grads to experienced engineers. Collaborate with cross functional teams to define, design, and deliver new features. Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies. Ideally you'd have: 8+ years of full time engineering experience, post graduation with specialities in back end systems. Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). Show a track record of independent ownership of successful engineering projects. Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non technical stakeholders. Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. Experience with modern web frameworks like NodeJS, NextJS, etc. Experience with cloud networking with Kubernetes and service mesh (istio). Experience with orchestration platforms, such as Temporal and AWS Step Functions. Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD). Nice to haves: Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt). Experience with authentication/authorization systems (Zanzibar, Authz, etc.) Experience scaling products at hyper growth startups. Excitement to work with AI technologies. Compensation Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full time position in the location of San Francisco is: $179,400 - $224,300 USD. Hiring Process Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
04/02/2026
Full time
Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre training, fine tuning, and production evaluations. This is the main innovation that enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Platform Engineering At the foundation of these products is the Platform Engineering team. In this role, you will help support the design and development of core platforms and software systems, while supporting identity, access management, authorization, and authentication. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the architecture, design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Directly manage or mentor small teams of software engineers ranging from new grads to experienced engineers. Collaborate with cross functional teams to define, design, and deliver new features. Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies. Ideally you'd have: 8+ years of full time engineering experience, post graduation with specialities in back end systems. Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). Show a track record of independent ownership of successful engineering projects. Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non technical stakeholders. Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. Experience with modern web frameworks like NodeJS, NextJS, etc. Experience with cloud networking with Kubernetes and service mesh (istio). Experience with orchestration platforms, such as Temporal and AWS Step Functions. Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD). Nice to haves: Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt). Experience with authentication/authorization systems (Zanzibar, Authz, etc.) Experience scaling products at hyper growth startups. Excitement to work with AI technologies. Compensation Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full time position in the location of San Francisco is: $179,400 - $224,300 USD. Hiring Process Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
A leading AI technology firm in San Francisco is seeking an experienced Software Engineer to lead the design and development of core data platforms and systems. You will be responsible for collaborating across teams and mentoring junior engineers. The ideal candidate has over 8 years of experience in backend systems, including database technologies like MongoDB and Postgres, as well as streaming solutions such as Kinesis. Competitive compensation includes substantial benefits.
04/02/2026
Full time
A leading AI technology firm in San Francisco is seeking an experienced Software Engineer to lead the design and development of core data platforms and systems. You will be responsible for collaborating across teams and mentoring junior engineers. The ideal candidate has over 8 years of experience in backend systems, including database technologies like MongoDB and Postgres, as well as streaming solutions such as Kinesis. Competitive compensation includes substantial benefits.
At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and સમ werd governments, to deepen our capabilities and offerings for both public and private evaluations. Example Projects Ship tools to accelerate the growth of new qualified contributors on Scale's labeling platform Build methodical fraud-detection systems to remove bad actors and keep Scale's contributor base safe and trusted. Use models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale. Devise advanced matching algorithms to match labelers to customers for optimal turnaround and accuracy. Build methods to automatically measure, train, and optimally match labelers to tasks based on performance Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ labelers to complete billions of complex tasks Develop new AI infrastructure products to visualize, query, and explore Scale data Create a customer service RAG application that handles 1000s of questions a day Integrate a cutting-edge ML model that predicts churn with a customer's retention system Requirements A graduation date in Fall 2025 or Spring 2026 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating Previous Product/Software Engineering Internship experience Track record of shipping high-quality products and features at scale Experience building systems that process large volumes of data Experience with Typescript, React, Python and/or MongoDB Compensation Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of填 Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $124,000 - $155,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designedики to protect personal data. Please see our privacy policy for additional information.
04/02/2026
Full time
At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and સમ werd governments, to deepen our capabilities and offerings for both public and private evaluations. Example Projects Ship tools to accelerate the growth of new qualified contributors on Scale's labeling platform Build methodical fraud-detection systems to remove bad actors and keep Scale's contributor base safe and trusted. Use models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale. Devise advanced matching algorithms to match labelers to customers for optimal turnaround and accuracy. Build methods to automatically measure, train, and optimally match labelers to tasks based on performance Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ labelers to complete billions of complex tasks Develop new AI infrastructure products to visualize, query, and explore Scale data Create a customer service RAG application that handles 1000s of questions a day Integrate a cutting-edge ML model that predicts churn with a customer's retention system Requirements A graduation date in Fall 2025 or Spring 2026 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating Previous Product/Software Engineering Internship experience Track record of shipping high-quality products and features at scale Experience building systems that process large volumes of data Experience with Typescript, React, Python and/or MongoDB Compensation Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of填 Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $124,000 - $155,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designedики to protect personal data. Please see our privacy policy for additional information.
A leading AI data company is looking for a product engineer to accelerate the development of innovative AI applications. Located in San Francisco, this role requires a Bachelor's degree in a relevant field and product engineering experience, including full-stack web app development. Candidates should be knowledgeable in technologies like Typescript, React, and Python. This position offers a competitive salary between $124,000 and $155,000 USD, plus comprehensive benefits including equity and generous PTO.
04/02/2026
Full time
A leading AI data company is looking for a product engineer to accelerate the development of innovative AI applications. Located in San Francisco, this role requires a Bachelor's degree in a relevant field and product engineering experience, including full-stack web app development. Candidates should be knowledgeable in technologies like Typescript, React, and Python. This position offers a competitive salary between $124,000 and $155,000 USD, plus comprehensive benefits including equity and generous PTO.
A leading AI technology company in San Francisco is seeking an experienced Platform Engineer to drive the architecture and design of foundational platforms. The role involves managing teams, collaborating with cross-functional teams to deliver new features, and presenting technical insights to stakeholders. Ideal candidates will have over 8 years in back-end systems, a strong grasp of distributed systems, and experience with cloud platforms like AWS. This position offers a competitive salary and comprehensive benefits.
04/02/2026
Full time
A leading AI technology company in San Francisco is seeking an experienced Platform Engineer to drive the architecture and design of foundational platforms. The role involves managing teams, collaborating with cross-functional teams to deliver new features, and presenting technical insights to stakeholders. Ideal candidates will have over 8 years in back-end systems, a strong grasp of distributed systems, and experience with cloud platforms like AWS. This position offers a competitive salary and comprehensive benefits.
Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. Responsibilities Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborate with cross functional teams to define, design, and deliver new features. Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies. Provide technical leadership, including upholding and upleveling engineering standards across the organization, mentoring junior engineers. Qualifications 8+ years of full time engineering experience, post graduation with specialties in back end systems, specifically related to building large scale data storage, streaming, and warehousing systems. Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.). Show a track record of mentoring and leading teams in successful projects. Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non technical stakeholders. Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings. Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems. Experience driving cross functional collaboration and communication at an organizational or broader level. Nice to haves Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI). Experience with performance tuning and cost optimizations of cloud based data platforms. Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs. Experience scaling products at hyper growth startups. Excitement to work with AI technologies. Compensation Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. $248,400 - $310,500 USD About Us At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. EEO Statement We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. Privacy Notice We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
04/02/2026
Full time
Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. Responsibilities Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborate with cross functional teams to define, design, and deliver new features. Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies. Provide technical leadership, including upholding and upleveling engineering standards across the organization, mentoring junior engineers. Qualifications 8+ years of full time engineering experience, post graduation with specialties in back end systems, specifically related to building large scale data storage, streaming, and warehousing systems. Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.). Show a track record of mentoring and leading teams in successful projects. Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non technical stakeholders. Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings. Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems. Experience driving cross functional collaboration and communication at an organizational or broader level. Nice to haves Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI). Experience with performance tuning and cost optimizations of cloud based data platforms. Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs. Experience scaling products at hyper growth startups. Excitement to work with AI technologies. Compensation Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. $248,400 - $310,500 USD About Us At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. EEO Statement We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. Privacy Notice We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
A leading AI technology firm in San Francisco seeks an ML Platform Engineer to optimize and build its training and inference framework. This role involves collaborating with ML teams to enhance research and development processes and integrating cutting-edge technologies. Candidates should be excited about system optimization, have experience in multi-node LLM training and proven software engineering skills. The position offers a competitive salary range of $218,400 - $273,000, along with comprehensive benefits.
04/02/2026
Full time
A leading AI technology firm in San Francisco seeks an ML Platform Engineer to optimize and build its training and inference framework. This role involves collaborating with ML teams to enhance research and development processes and integrating cutting-edge technologies. Candidates should be excited about system optimization, have experience in multi-node LLM training and proven software engineering skills. The position offers a competitive salary range of $218,400 - $273,000, along with comprehensive benefits.
A leading AI technology company is seeking a Machine Learning Research Engineer to develop critical ML systems for their GenAI platform. This high-impact role involves designing and deploying scalable ML solutions, utilizing advanced techniques and frameworks. Candidates should have 3+ years of experience, solid software engineering skills, and a passion for solving real-world problems. The position offers competitive compensation and benefits, with a salary range of $176,000 to $220,000 USD in San Francisco.
04/02/2026
Full time
A leading AI technology company is seeking a Machine Learning Research Engineer to develop critical ML systems for their GenAI platform. This high-impact role involves designing and deploying scalable ML solutions, utilizing advanced techniques and frameworks. Candidates should have 3+ years of experience, solid software engineering skills, and a passion for solving real-world problems. The position offers competitive compensation and benefits, with a salary range of $176,000 to $220,000 USD in San Francisco.
Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. ResponsibilitiesTechnical Leadership & Vision Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals. Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities. Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises. Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas. Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base. Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale. Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems. Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth. Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team. Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment. 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain. Deep expertise in Generative AI and Large Language Models (LLMs). Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale. Experience with large-scale distributed systems and real-time data processing. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization. Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms. Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems. Experience with vector databases and advanced retrieval techniques. A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD). Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. Experience driving cross-team technical initiatives that have delivered significant business impact. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000 - $315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
04/02/2026
Full time
Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. ResponsibilitiesTechnical Leadership & Vision Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals. Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities. Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises. Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas. Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base. Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale. Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems. Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth. Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team. Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment. 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain. Deep expertise in Generative AI and Large Language Models (LLMs). Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale. Experience with large-scale distributed systems and real-time data processing. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization. Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms. Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems. Experience with vector databases and advanced retrieval techniques. A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD). Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. Experience driving cross-team technical initiatives that have delivered significant business impact. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000 - $315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Machine Learning Engineer - Model Evaluations, Public Sector San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC Ready to Apply? Join the team shaping the future of AI at Scale. Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM judge based evaluations. Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes. Build evaluation frameworks for LLM agents, including infrastructure for scenario based and environment based testing. Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes. Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems. Design and execute stress tests and red teaming workflows to uncover vulnerabilities and edge cases. Collaborate with operations teams and subject matter experts to produce high quality evaluation datasets. This role will require an active security clearance or the ability to obtain a security clearance. Ideally you'd have: Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings. Strong programming skills in Python; experience with TensorFlow or PyTorch. Background in algorithms, data structures, and object oriented programming. Experience with LLM pipelines, simulation environments, or automated evaluation systems. Ability to convert research insights into measurable evaluation criteria. Nice to haves: Cloud experience (AWS, GCP) and model deployment experience. Experience with LLM evaluation, CV robustness, or RL validation. Knowledge of interpretability, adversarial robustness, or AI safety frameworks. Familiarity with ML evaluation frameworks and agentic model design. Experience in regulated, classified, or mission critical ML domains. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $208,000 - $300,000 USD Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the locations of Washington DC, Texas, Colorado is: $187,000 - $270,000 USD PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
04/02/2026
Full time
Machine Learning Engineer - Model Evaluations, Public Sector San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC Ready to Apply? Join the team shaping the future of AI at Scale. Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM judge based evaluations. Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes. Build evaluation frameworks for LLM agents, including infrastructure for scenario based and environment based testing. Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes. Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems. Design and execute stress tests and red teaming workflows to uncover vulnerabilities and edge cases. Collaborate with operations teams and subject matter experts to produce high quality evaluation datasets. This role will require an active security clearance or the ability to obtain a security clearance. Ideally you'd have: Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings. Strong programming skills in Python; experience with TensorFlow or PyTorch. Background in algorithms, data structures, and object oriented programming. Experience with LLM pipelines, simulation environments, or automated evaluation systems. Ability to convert research insights into measurable evaluation criteria. Nice to haves: Cloud experience (AWS, GCP) and model deployment experience. Experience with LLM evaluation, CV robustness, or RL validation. Knowledge of interpretability, adversarial robustness, or AI safety frameworks. Familiarity with ML evaluation frameworks and agentic model design. Experience in regulated, classified, or mission critical ML domains. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $208,000 - $300,000 USD Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the locations of Washington DC, Texas, Colorado is: $187,000 - $270,000 USD PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
A leading AI company is seeking a Machine Learning Engineer in the Public Sector to develop automated evaluation pipelines for AI models. You will work on advanced AI systems and ensure they perform reliably in mission-critical environments. Ideal candidates have a strong programming background and experience in ML evaluation frameworks. Competitive salary range is $208,000 - $300,000 USD depending on location.
04/02/2026
Full time
A leading AI company is seeking a Machine Learning Engineer in the Public Sector to develop automated evaluation pipelines for AI models. You will work on advanced AI systems and ensure they perform reliably in mission-critical environments. Ideal candidates have a strong programming background and experience in ML evaluation frameworks. Competitive salary range is $208,000 - $300,000 USD depending on location.
Machine Learning Research Engineer, GenAI Applied ML Ready to Apply? Join the team shaping the future of AI at Scale. At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for both public and private evaluations. About This Role This role will lead the development of machine learning systems powering internal and external customer use cases across Scale's GenAI platform. As a core part of our Generative AI data engine, these systems are critical to ensuring the usability, reliability, and value of our end-to-end ML workflows. You will build scalable ML services that incorporate both classical models and advanced LLM-based techniques. This is a high-impact, product-focused role where you'll collaborate across engineering, product, and operations teams to clarify specifications, define practical implementation plans, and rapidly iterate toward effective deployed solutions. If you're excited about solving real-world ML problems, deploying iteratively, and collaborating closely with cross functional teams to deliver value fast, we'd love to hear from you. You will: Design and deploy machine learning models to power core customer facing and internal GenAI features Build real time and batch ML systems that analyze structured and unstructured signals Combine traditional ML techniques with LLMs and neural networks to improve task performance and reliability Create robust evaluation frameworks and iterate quickly based on performance and feedback Collaborate closely with product and engineering teams to embed ML systems into production workflows and infrastructure Ideally you'd have: 3+ years of experience building and deploying ML models in production environments Experience delivering ML solutions that serve real world user or customer needs Proficiency in ML and deep learning frameworks such as scikit learn, PyTorch, TensorFlow, or JAX Familiarity with LLMs and experience applying foundation models for structured downstream tasks Strong software engineering fundamentals and experience building ML systems in microservice architectures (e.g., using AWS or GCP) Excellent communication skills and a proven ability to work cross functionally across product, ops, and engineering Nice to have: Hands on experience rapidly prototyping and iterating on ML systems with changing requirements Familiarity with data quality pipelines or internal evaluation frameworks Contributions to open source LLM fine tuning efforts or internal LLM alignment projects Research or published work in top ML venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $176,000 - $220,000 USD PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
04/02/2026
Full time
Machine Learning Research Engineer, GenAI Applied ML Ready to Apply? Join the team shaping the future of AI at Scale. At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for both public and private evaluations. About This Role This role will lead the development of machine learning systems powering internal and external customer use cases across Scale's GenAI platform. As a core part of our Generative AI data engine, these systems are critical to ensuring the usability, reliability, and value of our end-to-end ML workflows. You will build scalable ML services that incorporate both classical models and advanced LLM-based techniques. This is a high-impact, product-focused role where you'll collaborate across engineering, product, and operations teams to clarify specifications, define practical implementation plans, and rapidly iterate toward effective deployed solutions. If you're excited about solving real-world ML problems, deploying iteratively, and collaborating closely with cross functional teams to deliver value fast, we'd love to hear from you. You will: Design and deploy machine learning models to power core customer facing and internal GenAI features Build real time and batch ML systems that analyze structured and unstructured signals Combine traditional ML techniques with LLMs and neural networks to improve task performance and reliability Create robust evaluation frameworks and iterate quickly based on performance and feedback Collaborate closely with product and engineering teams to embed ML systems into production workflows and infrastructure Ideally you'd have: 3+ years of experience building and deploying ML models in production environments Experience delivering ML solutions that serve real world user or customer needs Proficiency in ML and deep learning frameworks such as scikit learn, PyTorch, TensorFlow, or JAX Familiarity with LLMs and experience applying foundation models for structured downstream tasks Strong software engineering fundamentals and experience building ML systems in microservice architectures (e.g., using AWS or GCP) Excellent communication skills and a proven ability to work cross functionally across product, ops, and engineering Nice to have: Hands on experience rapidly prototyping and iterating on ML systems with changing requirements Familiarity with data quality pipelines or internal evaluation frameworks Contributions to open source LLM fine tuning efforts or internal LLM alignment projects Research or published work in top ML venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $176,000 - $220,000 USD PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.