Overview At Scale AI, our mission is to accelerate the development of AI applications. Scale is a leading AI data foundry, enabling data capabilities for generative AI, defense applications, and autonomous vehicles. We are building on our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce supports how humanity will interact with AI. Our Approach As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. These teams power Scale's AI data operations-from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through trusted safety and security measures. Responsibilities Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements Requirements 5+ years of software engineering experience, ideally in high-growth, product-focused environments Proven track record of shipping production systems at scale Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal Strong product sense and ability to translate ambiguous problems into technical solutions Comfortable working in a fast-paced, high-ownership environment with a bias toward execution Excited to join a dynamic hybrid team based in San Francisco or New York City Compensation and Benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The salary range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and other factors, including job-related skills, experience, interview performance, and education or training. Eligible employees are granted equity-based compensation, subject to Board approval. Recruiters can share the specific salary range for your location during the hiring process, and confirm whether the role is eligible for equity. Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend. Location and Notice Please reference the job posting's subtitle for the location. For pay transparency, the base salary range for this full-time position in San Francisco, New York, and Seattle is: $216,200 - $270,250 USD. Equal Opportunity and Accessibility Scale AI is an equal opportunity employer. We provide reasonable accommodations to qualified applicants and employees. If you need assistance during the application or recruiting process, please contact . We comply with applicable equal employment opportunity laws and disclosure requirements where applicable.
04/02/2026
Full time
Overview At Scale AI, our mission is to accelerate the development of AI applications. Scale is a leading AI data foundry, enabling data capabilities for generative AI, defense applications, and autonomous vehicles. We are building on our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce supports how humanity will interact with AI. Our Approach As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. These teams power Scale's AI data operations-from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through trusted safety and security measures. Responsibilities Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements Requirements 5+ years of software engineering experience, ideally in high-growth, product-focused environments Proven track record of shipping production systems at scale Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal Strong product sense and ability to translate ambiguous problems into technical solutions Comfortable working in a fast-paced, high-ownership environment with a bias toward execution Excited to join a dynamic hybrid team based in San Francisco or New York City Compensation and Benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The salary range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and other factors, including job-related skills, experience, interview performance, and education or training. Eligible employees are granted equity-based compensation, subject to Board approval. Recruiters can share the specific salary range for your location during the hiring process, and confirm whether the role is eligible for equity. Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend. Location and Notice Please reference the job posting's subtitle for the location. For pay transparency, the base salary range for this full-time position in San Francisco, New York, and Seattle is: $216,200 - $270,250 USD. Equal Opportunity and Accessibility Scale AI is an equal opportunity employer. We provide reasonable accommodations to qualified applicants and employees. If you need assistance during the application or recruiting process, please contact . We comply with applicable equal employment opportunity laws and disclosure requirements where applicable.
Overview At Scale AI, our mission is to accelerate the development of AI applications. Scale is a leading AI data foundry, enabling data capabilities for generative AI, defense applications, and autonomous vehicles. We are building on our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce supports how humanity will interact with AI. Our Approach As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. These teams power Scale's AI data operations-from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through trusted safety and security measures. Responsibilities Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements Requirements 5+ years of software engineering experience, ideally in high-growth, product-focused environments Proven track record of shipping production systems at scale Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal Strong product sense and ability to translate ambiguous problems into technical solutions Comfortable working in a fast-paced, high-ownership environment with a bias toward execution Excited to join a dynamic hybrid team based in San Francisco or New York City Compensation and Benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The salary range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and other factors, including job-related skills, experience, interview performance, and education or training. Eligible employees are granted equity-based compensation, subject to Board approval. Recruiters can share the specific salary range for your location during the hiring process, and confirm whether the role is eligible for equity. Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend. Location and Notice Please reference the job posting's subtitle for the location. For pay transparency, the base salary range for this full-time position in San Francisco, New York, and Seattle is: $216,200 - $270,250 USD. Equal Opportunity and Accessibility Scale AI is an equal opportunity employer. We provide reasonable accommodations to qualified applicants and employees. If you need assistance during the application or recruiting process, please contact . We comply with applicable equal employment opportunity laws and disclosure requirements where applicable.
04/02/2026
Full time
Overview At Scale AI, our mission is to accelerate the development of AI applications. Scale is a leading AI data foundry, enabling data capabilities for generative AI, defense applications, and autonomous vehicles. We are building on our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce supports how humanity will interact with AI. Our Approach As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. These teams power Scale's AI data operations-from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through trusted safety and security measures. Responsibilities Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements Requirements 5+ years of software engineering experience, ideally in high-growth, product-focused environments Proven track record of shipping production systems at scale Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal Strong product sense and ability to translate ambiguous problems into technical solutions Comfortable working in a fast-paced, high-ownership environment with a bias toward execution Excited to join a dynamic hybrid team based in San Francisco or New York City Compensation and Benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The salary range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and other factors, including job-related skills, experience, interview performance, and education or training. Eligible employees are granted equity-based compensation, subject to Board approval. Recruiters can share the specific salary range for your location during the hiring process, and confirm whether the role is eligible for equity. Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend. Location and Notice Please reference the job posting's subtitle for the location. For pay transparency, the base salary range for this full-time position in San Francisco, New York, and Seattle is: $216,200 - $270,250 USD. Equal Opportunity and Accessibility Scale AI is an equal opportunity employer. We provide reasonable accommodations to qualified applicants and employees. If you need assistance during the application or recruiting process, please contact . We comply with applicable equal employment opportunity laws and disclosure requirements where applicable.
Senior Software Engineer, Backend - Frontier Data 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. Scale employees in eligible roles are also granted equity based compensation. 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. 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 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 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 an inclusive and equal opportunity workplace. 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 . 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.
04/02/2026
Full time
Senior Software Engineer, Backend - Frontier Data 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. Scale employees in eligible roles are also granted equity based compensation. 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. 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 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 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 an inclusive and equal opportunity workplace. 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 . 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.
Senior Software Engineer, Backend - Frontier Data 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. Scale employees in eligible roles are also granted equity based compensation. 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. 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 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 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 an inclusive and equal opportunity workplace. 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 . 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.
04/02/2026
Full time
Senior Software Engineer, Backend - Frontier Data 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. Scale employees in eligible roles are also granted equity based compensation. 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. 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 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 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 an inclusive and equal opportunity workplace. 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 . 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.
A leading AI technology company is seeking a Senior Software Engineer, Backend, to own backend systems for agentic data products. The role involves building scalable services and architectures while collaborating closely with cross-functional teams. Candidates should have over 5 years of experience in backend engineering with strong fundamentals in distributed systems and API design. Compensation is competitive, with a salary range of $216,200 - $270,250 USD, alongside benefits including health coverage and equity compensation.
04/02/2026
Full time
A leading AI technology company is seeking a Senior Software Engineer, Backend, to own backend systems for agentic data products. The role involves building scalable services and architectures while collaborating closely with cross-functional teams. Candidates should have over 5 years of experience in backend engineering with strong fundamentals in distributed systems and API design. Compensation is competitive, with a salary range of $216,200 - $270,250 USD, alongside benefits including health coverage and equity compensation.
A leading AI technology company is seeking a Senior Software Engineer, Backend, to own backend systems for agentic data products. The role involves building scalable services and architectures while collaborating closely with cross-functional teams. Candidates should have over 5 years of experience in backend engineering with strong fundamentals in distributed systems and API design. Compensation is competitive, with a salary range of $216,200 - $270,250 USD, alongside benefits including health coverage and equity compensation.
04/02/2026
Full time
A leading AI technology company is seeking a Senior Software Engineer, Backend, to own backend systems for agentic data products. The role involves building scalable services and architectures while collaborating closely with cross-functional teams. Candidates should have over 5 years of experience in backend engineering with strong fundamentals in distributed systems and API design. Compensation is competitive, with a salary range of $216,200 - $270,250 USD, alongside benefits including health coverage and equity compensation.
A leading AI firm seeks a Machine Learning Engineer for their Public Sector team. The role focuses on using generative AI and computer vision to improve government systems. The ideal candidate has extensive experience in ML, strong skills in Python, and familiarity with TensorFlow or PyTorch. This position offers a competitive salary ranging from $208,000 to $300,000 in major U.S. cities including New York. Security clearance is required.
04/02/2026
Full time
A leading AI firm seeks a Machine Learning Engineer for their Public Sector team. The role focuses on using generative AI and computer vision to improve government systems. The ideal candidate has extensive experience in ML, strong skills in Python, and familiarity with TensorFlow or PyTorch. This position offers a competitive salary ranging from $208,000 to $300,000 in major U.S. cities including New York. Security clearance is required.
A leading AI firm seeks a Machine Learning Engineer for their Public Sector team. The role focuses on using generative AI and computer vision to improve government systems. The ideal candidate has extensive experience in ML, strong skills in Python, and familiarity with TensorFlow or PyTorch. This position offers a competitive salary ranging from $208,000 to $300,000 in major U.S. cities including New York. Security clearance is required.
04/02/2026
Full time
A leading AI firm seeks a Machine Learning Engineer for their Public Sector team. The role focuses on using generative AI and computer vision to improve government systems. The ideal candidate has extensive experience in ML, strong skills in Python, and familiarity with TensorFlow or PyTorch. This position offers a competitive salary ranging from $208,000 to $300,000 in major U.S. cities including New York. Security clearance is required.
A leading AI firm seeks a Machine Learning Engineer for their Public Sector team. The role focuses on using generative AI and computer vision to improve government systems. The ideal candidate has extensive experience in ML, strong skills in Python, and familiarity with TensorFlow or PyTorch. This position offers a competitive salary ranging from $208,000 to $300,000 in major U.S. cities including New York. Security clearance is required.
04/02/2026
Full time
A leading AI firm seeks a Machine Learning Engineer for their Public Sector team. The role focuses on using generative AI and computer vision to improve government systems. The ideal candidate has extensive experience in ML, strong skills in Python, and familiarity with TensorFlow or PyTorch. This position offers a competitive salary ranging from $208,000 to $300,000 in major U.S. cities including New York. Security clearance is required.
A leading AI company based in New York is seeking a seasoned Software Engineer to design and build scalable, robust systems across the stack. The ideal candidate will have 5+ years of software engineering experience, with a proven ability to ship production systems effectively. You'll implement high-impact features using technologies like TypeScript, React, and Node.js, while working closely with internal teams. Competitive compensation and comprehensive benefits are provided, including health coverage and equity-based compensation.
04/02/2026
Full time
A leading AI company based in New York is seeking a seasoned Software Engineer to design and build scalable, robust systems across the stack. The ideal candidate will have 5+ years of software engineering experience, with a proven ability to ship production systems effectively. You'll implement high-impact features using technologies like TypeScript, React, and Node.js, while working closely with internal teams. Competitive compensation and comprehensive benefits are provided, including health coverage and equity-based compensation.
A leading AI company based in New York is seeking a seasoned Software Engineer to design and build scalable, robust systems across the stack. The ideal candidate will have 5+ years of software engineering experience, with a proven ability to ship production systems effectively. You'll implement high-impact features using technologies like TypeScript, React, and Node.js, while working closely with internal teams. Competitive compensation and comprehensive benefits are provided, including health coverage and equity-based compensation.
04/02/2026
Full time
A leading AI company based in New York is seeking a seasoned Software Engineer to design and build scalable, robust systems across the stack. The ideal candidate will have 5+ years of software engineering experience, with a proven ability to ship production systems effectively. You'll implement high-impact features using technologies like TypeScript, React, and Node.js, while working closely with internal teams. Competitive compensation and comprehensive benefits are provided, including health coverage and equity-based compensation.
AI is becoming vitally important in every function of our society. 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 usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life saving drug proteins. Daily data driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool calling, and more Have experience gathering business requirements and translating them into technical solutions Meet regularly with customer teams onsite and virtually, collaborating cross functionally with all teams responsible for their data and ML needs Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases. Be able and willing to multi task and learn new technologies quickly Ideally you'd have A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background. Deep familiarity with a data driven approach when iterating on machine learning models and how changes in datasets can influence model results Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas) Nice to haves Strong knowledge of software engineering best practices Have built applications taking advantage of Generative AI in real, production use cases Familiarity with state of the art LLMs and their strengths/weaknesses 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. $180,600 - $225,750 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
AI is becoming vitally important in every function of our society. 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 usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life saving drug proteins. Daily data driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool calling, and more Have experience gathering business requirements and translating them into technical solutions Meet regularly with customer teams onsite and virtually, collaborating cross functionally with all teams responsible for their data and ML needs Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases. Be able and willing to multi task and learn new technologies quickly Ideally you'd have A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background. Deep familiarity with a data driven approach when iterating on machine learning models and how changes in datasets can influence model results Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas) Nice to haves Strong knowledge of software engineering best practices Have built applications taking advantage of Generative AI in real, production use cases Familiarity with state of the art LLMs and their strengths/weaknesses 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. $180,600 - $225,750 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.
AI is becoming vitally important in every function of our society. 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 usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life saving drug proteins. Daily data driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool calling, and more Have experience gathering business requirements and translating them into technical solutions Meet regularly with customer teams onsite and virtually, collaborating cross functionally with all teams responsible for their data and ML needs Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases. Be able and willing to multi task and learn new technologies quickly Ideally you'd have A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background. Deep familiarity with a data driven approach when iterating on machine learning models and how changes in datasets can influence model results Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas) Nice to haves Strong knowledge of software engineering best practices Have built applications taking advantage of Generative AI in real, production use cases Familiarity with state of the art LLMs and their strengths/weaknesses 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. $180,600 - $225,750 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
AI is becoming vitally important in every function of our society. 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 usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life saving drug proteins. Daily data driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool calling, and more Have experience gathering business requirements and translating them into technical solutions Meet regularly with customer teams onsite and virtually, collaborating cross functionally with all teams responsible for their data and ML needs Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases. Be able and willing to multi task and learn new technologies quickly Ideally you'd have A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background. Deep familiarity with a data driven approach when iterating on machine learning models and how changes in datasets can influence model results Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas) Nice to haves Strong knowledge of software engineering best practices Have built applications taking advantage of Generative AI in real, production use cases Familiarity with state of the art LLMs and their strengths/weaknesses 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. $180,600 - $225,750 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.
Staff Infrastructure Software Engineer, Enterprise AI Scale GP is building the next generation of enterprise grade Generative AI products. Our platform provides APIs for knowledge retrieval, inference, and evaluation, enabling customers to build and deploy powerful Agentic workflows for Enterprise use cases. We're looking for a Senior Infrastructure Software Engineer to build and scale our core infrastructure in a fast paced environment. This team is key to our mission, directly enabling the deployment of these agentic flows for our customers. This is a unique opportunity for an infrastructure leader who is passionate about defining the future of AI deployments. You will be at the forefront of the industry, solving complex, bleeding edge problems in scalability, security, and developer efficiency. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly regulated industries like healthcare, telecom, finance, and retail. What You'll Do Define the architectural patterns for our multi cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers. Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies. Own the development and maintenance of our best in class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response. Drive developer efficiency by building automated tooling and championing Infrastructure as Code (IaC) paradigms throughout the engineering organization. Solve the toughest engineering problems related to multi tenancy, data isolation, and high performance inference at a massive scale, taking end to end ownership across the full product lifecycle. What We're Looking For Proven experience in a senior role, with 5+ years of full time software engineering experience. Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana). Extensive experience with at least one major cloud provider (AWS, Azure, or GCP). Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer specific VPC setups. Bonus points: Hands on experience and a passion for working with Agents, LLMs, vector databases, and other emerging AI technologies. Compensation and Benefits Base salary range: $248,400-$310,500 USD (for full time positions in San Francisco, New York, Seattle). Eligible roles receive equity based compensation and benefits including comprehensive health, dental, and vision coverage, retirement benefits, learning and development stipend, generous PTO, and potential commuter stipend. Equal Employment Opportunity 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 or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at .
04/02/2026
Full time
Staff Infrastructure Software Engineer, Enterprise AI Scale GP is building the next generation of enterprise grade Generative AI products. Our platform provides APIs for knowledge retrieval, inference, and evaluation, enabling customers to build and deploy powerful Agentic workflows for Enterprise use cases. We're looking for a Senior Infrastructure Software Engineer to build and scale our core infrastructure in a fast paced environment. This team is key to our mission, directly enabling the deployment of these agentic flows for our customers. This is a unique opportunity for an infrastructure leader who is passionate about defining the future of AI deployments. You will be at the forefront of the industry, solving complex, bleeding edge problems in scalability, security, and developer efficiency. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly regulated industries like healthcare, telecom, finance, and retail. What You'll Do Define the architectural patterns for our multi cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers. Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies. Own the development and maintenance of our best in class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response. Drive developer efficiency by building automated tooling and championing Infrastructure as Code (IaC) paradigms throughout the engineering organization. Solve the toughest engineering problems related to multi tenancy, data isolation, and high performance inference at a massive scale, taking end to end ownership across the full product lifecycle. What We're Looking For Proven experience in a senior role, with 5+ years of full time software engineering experience. Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana). Extensive experience with at least one major cloud provider (AWS, Azure, or GCP). Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer specific VPC setups. Bonus points: Hands on experience and a passion for working with Agents, LLMs, vector databases, and other emerging AI technologies. Compensation and Benefits Base salary range: $248,400-$310,500 USD (for full time positions in San Francisco, New York, Seattle). Eligible roles receive equity based compensation and benefits including comprehensive health, dental, and vision coverage, retirement benefits, learning and development stipend, generous PTO, and potential commuter stipend. Equal Employment Opportunity 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 or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at .
Staff Infrastructure Software Engineer, Enterprise AI Scale GP is building the next generation of enterprise grade Generative AI products. Our platform provides APIs for knowledge retrieval, inference, and evaluation, enabling customers to build and deploy powerful Agentic workflows for Enterprise use cases. We're looking for a Senior Infrastructure Software Engineer to build and scale our core infrastructure in a fast paced environment. This team is key to our mission, directly enabling the deployment of these agentic flows for our customers. This is a unique opportunity for an infrastructure leader who is passionate about defining the future of AI deployments. You will be at the forefront of the industry, solving complex, bleeding edge problems in scalability, security, and developer efficiency. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly regulated industries like healthcare, telecom, finance, and retail. What You'll Do Define the architectural patterns for our multi cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers. Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies. Own the development and maintenance of our best in class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response. Drive developer efficiency by building automated tooling and championing Infrastructure as Code (IaC) paradigms throughout the engineering organization. Solve the toughest engineering problems related to multi tenancy, data isolation, and high performance inference at a massive scale, taking end to end ownership across the full product lifecycle. What We're Looking For Proven experience in a senior role, with 5+ years of full time software engineering experience. Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana). Extensive experience with at least one major cloud provider (AWS, Azure, or GCP). Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer specific VPC setups. Bonus points: Hands on experience and a passion for working with Agents, LLMs, vector databases, and other emerging AI technologies. Compensation and Benefits Base salary range: $248,400-$310,500 USD (for full time positions in San Francisco, New York, Seattle). Eligible roles receive equity based compensation and benefits including comprehensive health, dental, and vision coverage, retirement benefits, learning and development stipend, generous PTO, and potential commuter stipend. Equal Employment Opportunity 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 or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at .
04/02/2026
Full time
Staff Infrastructure Software Engineer, Enterprise AI Scale GP is building the next generation of enterprise grade Generative AI products. Our platform provides APIs for knowledge retrieval, inference, and evaluation, enabling customers to build and deploy powerful Agentic workflows for Enterprise use cases. We're looking for a Senior Infrastructure Software Engineer to build and scale our core infrastructure in a fast paced environment. This team is key to our mission, directly enabling the deployment of these agentic flows for our customers. This is a unique opportunity for an infrastructure leader who is passionate about defining the future of AI deployments. You will be at the forefront of the industry, solving complex, bleeding edge problems in scalability, security, and developer efficiency. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly regulated industries like healthcare, telecom, finance, and retail. What You'll Do Define the architectural patterns for our multi cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers. Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies. Own the development and maintenance of our best in class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response. Drive developer efficiency by building automated tooling and championing Infrastructure as Code (IaC) paradigms throughout the engineering organization. Solve the toughest engineering problems related to multi tenancy, data isolation, and high performance inference at a massive scale, taking end to end ownership across the full product lifecycle. What We're Looking For Proven experience in a senior role, with 5+ years of full time software engineering experience. Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana). Extensive experience with at least one major cloud provider (AWS, Azure, or GCP). Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer specific VPC setups. Bonus points: Hands on experience and a passion for working with Agents, LLMs, vector databases, and other emerging AI technologies. Compensation and Benefits Base salary range: $248,400-$310,500 USD (for full time positions in San Francisco, New York, Seattle). Eligible roles receive equity based compensation and benefits including comprehensive health, dental, and vision coverage, retirement benefits, learning and development stipend, generous PTO, and potential commuter stipend. Equal Employment Opportunity 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 or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at .
Staff Infrastructure Software Engineer, Enterprise AI Scale GP is building the next generation of enterprise grade Generative AI products. Our platform provides APIs for knowledge retrieval, inference, and evaluation, enabling customers to build and deploy powerful Agentic workflows for Enterprise use cases. We're looking for a Senior Infrastructure Software Engineer to build and scale our core infrastructure in a fast paced environment. This team is key to our mission, directly enabling the deployment of these agentic flows for our customers. This is a unique opportunity for an infrastructure leader who is passionate about defining the future of AI deployments. You will be at the forefront of the industry, solving complex, bleeding edge problems in scalability, security, and developer efficiency. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly regulated industries like healthcare, telecom, finance, and retail. What You'll Do Define the architectural patterns for our multi cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers. Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies. Own the development and maintenance of our best in class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response. Drive developer efficiency by building automated tooling and championing Infrastructure as Code (IaC) paradigms throughout the engineering organization. Solve the toughest engineering problems related to multi tenancy, data isolation, and high performance inference at a massive scale, taking end to end ownership across the full product lifecycle. What We're Looking For Proven experience in a senior role, with 5+ years of full time software engineering experience. Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana). Extensive experience with at least one major cloud provider (AWS, Azure, or GCP). Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer specific VPC setups. Bonus points: Hands on experience and a passion for working with Agents, LLMs, vector databases, and other emerging AI technologies. Compensation and Benefits Base salary range: $248,400-$310,500 USD (for full time positions in San Francisco, New York, Seattle). Eligible roles receive equity based compensation and benefits including comprehensive health, dental, and vision coverage, retirement benefits, learning and development stipend, generous PTO, and potential commuter stipend. Equal Employment Opportunity 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 or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at .
04/02/2026
Full time
Staff Infrastructure Software Engineer, Enterprise AI Scale GP is building the next generation of enterprise grade Generative AI products. Our platform provides APIs for knowledge retrieval, inference, and evaluation, enabling customers to build and deploy powerful Agentic workflows for Enterprise use cases. We're looking for a Senior Infrastructure Software Engineer to build and scale our core infrastructure in a fast paced environment. This team is key to our mission, directly enabling the deployment of these agentic flows for our customers. This is a unique opportunity for an infrastructure leader who is passionate about defining the future of AI deployments. You will be at the forefront of the industry, solving complex, bleeding edge problems in scalability, security, and developer efficiency. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly regulated industries like healthcare, telecom, finance, and retail. What You'll Do Define the architectural patterns for our multi cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers. Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies. Own the development and maintenance of our best in class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response. Drive developer efficiency by building automated tooling and championing Infrastructure as Code (IaC) paradigms throughout the engineering organization. Solve the toughest engineering problems related to multi tenancy, data isolation, and high performance inference at a massive scale, taking end to end ownership across the full product lifecycle. What We're Looking For Proven experience in a senior role, with 5+ years of full time software engineering experience. Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana). Extensive experience with at least one major cloud provider (AWS, Azure, or GCP). Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer specific VPC setups. Bonus points: Hands on experience and a passion for working with Agents, LLMs, vector databases, and other emerging AI technologies. Compensation and Benefits Base salary range: $248,400-$310,500 USD (for full time positions in San Francisco, New York, Seattle). Eligible roles receive equity based compensation and benefits including comprehensive health, dental, and vision coverage, retirement benefits, learning and development stipend, generous PTO, and potential commuter stipend. Equal Employment Opportunity 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 or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at .
A leading AI technology firm in San Francisco is seeking a Staff Software Engineer, Full-Stack to develop AI-powered applications. The ideal candidate will have over 5 years of experience in frontend and full-stack development, proficient in Next.js, React, TypeScript, and Tailwind. This role offers a competitive salary ranging from $160,000 to $192,000, along with comprehensive benefits including health coverage and generous PTO. Join us in shaping the future of enterprise workflows with innovative AI solutions.
04/02/2026
Full time
A leading AI technology firm in San Francisco is seeking a Staff Software Engineer, Full-Stack to develop AI-powered applications. The ideal candidate will have over 5 years of experience in frontend and full-stack development, proficient in Next.js, React, TypeScript, and Tailwind. This role offers a competitive salary ranging from $160,000 to $192,000, along with comprehensive benefits including health coverage and generous PTO. Join us in shaping the future of enterprise workflows with innovative AI solutions.
A leading AI technology firm in San Francisco is seeking a Staff Software Engineer, Full-Stack to develop AI-powered applications. The ideal candidate will have over 5 years of experience in frontend and full-stack development, proficient in Next.js, React, TypeScript, and Tailwind. This role offers a competitive salary ranging from $160,000 to $192,000, along with comprehensive benefits including health coverage and generous PTO. Join us in shaping the future of enterprise workflows with innovative AI solutions.
04/02/2026
Full time
A leading AI technology firm in San Francisco is seeking a Staff Software Engineer, Full-Stack to develop AI-powered applications. The ideal candidate will have over 5 years of experience in frontend and full-stack development, proficient in Next.js, React, TypeScript, and Tailwind. This role offers a competitive salary ranging from $160,000 to $192,000, along with comprehensive benefits including health coverage and generous PTO. Join us in shaping the future of enterprise workflows with innovative AI solutions.
A leading AI technology firm in San Francisco is seeking a Staff Software Engineer, Full-Stack to develop AI-powered applications. The ideal candidate will have over 5 years of experience in frontend and full-stack development, proficient in Next.js, React, TypeScript, and Tailwind. This role offers a competitive salary ranging from $160,000 to $192,000, along with comprehensive benefits including health coverage and generous PTO. Join us in shaping the future of enterprise workflows with innovative AI solutions.
04/02/2026
Full time
A leading AI technology firm in San Francisco is seeking a Staff Software Engineer, Full-Stack to develop AI-powered applications. The ideal candidate will have over 5 years of experience in frontend and full-stack development, proficient in Next.js, React, TypeScript, and Tailwind. This role offers a competitive salary ranging from $160,000 to $192,000, along with comprehensive benefits including health coverage and generous PTO. Join us in shaping the future of enterprise workflows with innovative AI solutions.
Staff Software Engineer, Full-Stack - Enterprise Gen AI Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend focused full stack engineer to help build AI powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high quality, intuitive user experiences. At Scale, you'll work on a mix of cutting edge customer facing AI applications and internal SaaS products. Our engineering team powers projects like TIME'S Person of the Year AI experience, where our AI technology helped shape one of the most iconic features in media. You'll also contribute to Scale's GenAI Platform (SGP), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it's developing interactive AI assistants, enterprise grade web applications, or refining our core SaaS platform, you'll play a crucial role in shaping how AI integrates into real world applications. You Will: Build and enhance user facing AI applications for major enterprise customers, including high profile media and Fortune 500 companies Develop and refine features for Scale's GenAI Platform, empowering businesses to build, deploy, and manage AI driven agents Design, build, and optimize polished, high performance UIs using Next.js, React, TypeScript, and Tailwind Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud based infrastructure Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility Ideally, You Have: 5+ years of experience developing frontend or full stack applications in a modern tech stack Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user friendly interfaces Experience working on high visibility, customer facing applications and making trade offs between speed and quality in fast paced environments A passion for AI and experience working on interactive AI applications, agent based systems, or data rich web platforms Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP A track record of collaborating cross functionally with design, product, and ML teams to bring AI powered applications to life This role is a unique opportunity to shape the future of AI powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you're excited by the intersection of AI, frontend engineering, and product design, we'd love to hear from you. The base salary range for this full time position in our hub locations of San Francisco, New York, or Seattle is $160,000 - $192,000. Compensation packages at Scale include base salary, equity, and benefits such as comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and a commuter stipend. We are committed to equal employment opportunity regarding race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or veteran status. We provide reasonable accommodations for applicants with disabilities. We also collect, retain, and use personal data for professional business purposes and treat it in accordance with our internal policies and applicable laws. For more information, please see our privacy policy.
04/02/2026
Full time
Staff Software Engineer, Full-Stack - Enterprise Gen AI Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend focused full stack engineer to help build AI powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high quality, intuitive user experiences. At Scale, you'll work on a mix of cutting edge customer facing AI applications and internal SaaS products. Our engineering team powers projects like TIME'S Person of the Year AI experience, where our AI technology helped shape one of the most iconic features in media. You'll also contribute to Scale's GenAI Platform (SGP), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it's developing interactive AI assistants, enterprise grade web applications, or refining our core SaaS platform, you'll play a crucial role in shaping how AI integrates into real world applications. You Will: Build and enhance user facing AI applications for major enterprise customers, including high profile media and Fortune 500 companies Develop and refine features for Scale's GenAI Platform, empowering businesses to build, deploy, and manage AI driven agents Design, build, and optimize polished, high performance UIs using Next.js, React, TypeScript, and Tailwind Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud based infrastructure Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility Ideally, You Have: 5+ years of experience developing frontend or full stack applications in a modern tech stack Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user friendly interfaces Experience working on high visibility, customer facing applications and making trade offs between speed and quality in fast paced environments A passion for AI and experience working on interactive AI applications, agent based systems, or data rich web platforms Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP A track record of collaborating cross functionally with design, product, and ML teams to bring AI powered applications to life This role is a unique opportunity to shape the future of AI powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you're excited by the intersection of AI, frontend engineering, and product design, we'd love to hear from you. The base salary range for this full time position in our hub locations of San Francisco, New York, or Seattle is $160,000 - $192,000. Compensation packages at Scale include base salary, equity, and benefits such as comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and a commuter stipend. We are committed to equal employment opportunity regarding race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or veteran status. We provide reasonable accommodations for applicants with disabilities. We also collect, retain, and use personal data for professional business purposes and treat it in accordance with our internal policies and applicable laws. For more information, please see our privacy policy.