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About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible. Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization—working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent. About the Role You’ll focus on identifying and engaging world‑class software and machine learning engineers who are advancing the frontier of machine learning and artificial intelligence. In this role, you will drive top‑of‑funnel sourcing efforts, build thoughtful outreach strategies, and cultivate long‑term relationships with highly specialized technical talent to support our Research teams’ hiring ambitions. You’ll work across a range of deeply technical roles, mapping emerging fields, identifying leading contributors, and proactively engaging experts in their respective domains. You’ll partner closely with recruiters, hiring managers, and research leaders to surface exceptional candidates, generate strong pipelines for niche searches, and continuously refine sourcing strategies to help our research teams grow and scale. Your Responsibilities: Build highly targeted searches that deliver candidate profiles with precision. Craft thoughtful approaches to candidate outreach that will engage even the most passive talent and cultivate relationships with high priority targets over the long-term. Develop and utilize creative strategies to discover non-traditional, highly specialized, and/or up and coming talent. Partner closely with hiring managers across OpenAI to develop customized sourcing strategies and advise them on the market. Take a highly organized and data driven approach to candidate tracking and funnel metrics. Represent OpenAI and engage with community members at conferences and events. We’re Seeking: Significant experience sourcing specialized engineering/technical talent across a range of highly technical domains. Deep interest in AI and the engineering challenges behind frontier research, with a desire to deepen your understanding of complex technical domains and communities. Demonstrable success in sourcing and hiring top technical talent at a premier tech company, high-growth startup, VC, and/or executive search firm. Ability to drive multiple complex searches in parallel while maintaining a high quality bar and exceptional stakeholder + candidate experience. A passion for the research and mapping components of sourcing; it’s a long game. Workplace & Location This role can be based in our San Francisco, New York, or Seattle offices or remotely in the US. When applying, let us know which location(s) work for you. If you’re joining us in person, we offer relocation support and follow a hybrid schedule: three days a week in the office, with the option to work from home on Thursdays and Fridays. Our offices are set up for focus and connection—with height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible. Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization—working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent. About the Role You’ll focus on identifying and engaging world‑class software and machine learning engineers who are advancing the frontier of machine learning and artificial intelligence. In this role, you will drive top‑of‑funnel sourcing efforts, build thoughtful outreach strategies, and cultivate long‑term relationships with highly specialized technical talent to support our Research teams’ hiring ambitions. You’ll work across a range of deeply technical roles, mapping emerging fields, identifying leading contributors, and proactively engaging experts in their respective domains. You’ll partner closely with recruiters, hiring managers, and research leaders to surface exceptional candidates, generate strong pipelines for niche searches, and continuously refine sourcing strategies to help our research teams grow and scale. Your Responsibilities: Build highly targeted searches that deliver candidate profiles with precision. Craft thoughtful approaches to candidate outreach that will engage even the most passive talent and cultivate relationships with high priority targets over the long-term. Develop and utilize creative strategies to discover non-traditional, highly specialized, and/or up and coming talent. Partner closely with hiring managers across OpenAI to develop customized sourcing strategies and advise them on the market. Take a highly organized and data driven approach to candidate tracking and funnel metrics. Represent OpenAI and engage with community members at conferences and events. We’re Seeking: Significant experience sourcing specialized engineering/technical talent across a range of highly technical domains. Deep interest in AI and the engineering challenges behind frontier research, with a desire to deepen your understanding of complex technical domains and communities. Demonstrable success in sourcing and hiring top technical talent at a premier tech company, high-growth startup, VC, and/or executive search firm. Ability to drive multiple complex searches in parallel while maintaining a high quality bar and exceptional stakeholder + candidate experience. A passion for the research and mapping components of sourcing; it’s a long game. Workplace & Location This role can be based in our San Francisco, New York, or Seattle offices or remotely in the US. When applying, let us know which location(s) work for you. If you’re joining us in person, we offer relocation support and follow a hybrid schedule: three days a week in the office, with the option to work from home on Thursdays and Fridays. Our offices are set up for focus and connection—with height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible. Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization—working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent. About the Role You’ll focus on identifying and engaging world‑class software and machine learning engineers who are advancing the frontier of machine learning and artificial intelligence. In this role, you will drive top‑of‑funnel sourcing efforts, build thoughtful outreach strategies, and cultivate long‑term relationships with highly specialized technical talent to support our Research teams’ hiring ambitions. You’ll work across a range of deeply technical roles, mapping emerging fields, identifying leading contributors, and proactively engaging experts in their respective domains. You’ll partner closely with recruiters, hiring managers, and research leaders to surface exceptional candidates, generate strong pipelines for niche searches, and continuously refine sourcing strategies to help our research teams grow and scale. Your Responsibilities: Build highly targeted searches that deliver candidate profiles with precision. Craft thoughtful approaches to candidate outreach that will engage even the most passive talent and cultivate relationships with high priority targets over the long-term. Develop and utilize creative strategies to discover non-traditional, highly specialized, and/or up and coming talent. Partner closely with hiring managers across OpenAI to develop customized sourcing strategies and advise them on the market. Take a highly organized and data driven approach to candidate tracking and funnel metrics. Represent OpenAI and engage with community members at conferences and events. We’re Seeking: Significant experience sourcing specialized engineering/technical talent across a range of highly technical domains. Deep interest in AI and the engineering challenges behind frontier research, with a desire to deepen your understanding of complex technical domains and communities. Demonstrable success in sourcing and hiring top technical talent at a premier tech company, high-growth startup, VC, and/or executive search firm. Ability to drive multiple complex searches in parallel while maintaining a high quality bar and exceptional stakeholder + candidate experience. A passion for the research and mapping components of sourcing; it’s a long game. Workplace & Location This role can be based in our San Francisco, New York, or Seattle offices or remotely in the US. When applying, let us know which location(s) work for you. If you’re joining us in person, we offer relocation support and follow a hybrid schedule: three days a week in the office, with the option to work from home on Thursdays and Fridays. Our offices are set up for focus and connection—with height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Role We are hiring a Data Scientist to help build OpenAI's B2B ecosystem and go-to-market data science capability. You will turn ambiguous commercial questions into evidence, recommendations, and operating decisions that help OpenAI understand where to focus as our B2B business expands. OpenAI's B2B motion is growing quickly across products, customer segments, markets, and field teams. This role will partner with leaders across GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science to answer questions tied to international strategy, monetization, product penetration, field deployment, customer opportunity, and organizational design. This is a founding-style opportunity within the broader GTM Data Science organization. The team and stakeholder model are still evolving, so you should be energized by building structure in ambiguity, helping define how the team works, and helping shape the bench around a high-priority commercial area. In this role, you will bring data science craft, consulting-style problem solving, practical AI fluency, and strong business judgment to help senior leaders make better B2B decisions. In this role, you will: Structure ambiguous B2B and go-to-market questions into clear operational plans, identifying the decision at stake, the evidence needed, and how insights will translate into action. Lead strategic deep dives across international expansion, monetization, product penetration, customer segmentation, field deployment, ecosystem dynamics, and organizational design. Analyze product usage, customer behavior, adoption patterns, sales and field activity, pipeline and revenue signals, and market context to identify the drivers of B2B growth. Partner closely with GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science leaders to turn analysis into prioritization decisions, field plays, investment choices, and operating cadences. Communicate complex findings to executives and cross-functional partners with crisp recommendations, transparent assumptions, and clear tradeoffs. Bring practical AI fluency to the work, using modern AI tools to accelerate analysis, synthesize evidence, improve workflows, and identify new ways data science can support business decision-making. Help define the operating model for an emerging B2B data science capability, including how the team frames problems, engages stakeholders, evaluates opportunities, and turns insights into GTM action. You might thrive in this role if you have: Senior-level experience in a quantitative role such as Data Science, Product Analytics, Decision Science, Growth Analytics, Strategy Analytics, or a related field. Strong business judgment and a track record of translating ambiguous analytical work into decisions that business leaders can act on. Experience working on B2B,, GTM or commercial strategy, monetization,, product growth, or similarly complex business problems. Strong technical fluency with analytical tools such as SQL and Python, or equivalent experience using data to answer open-ended business questions. Ability to connect data across product, customer, sales, revenue, market, and operational contexts to form a coherent view of the business. Consulting-style problem solving: you can structure a broad question, identify the highest-leverage analysis, manage uncertainty, and communicate a practical recommendation. Excellent executive communication and cross-functional partnership. You can influence senior leaders, field teams, product partners, operators, and other data scientists with clear evidence and balanced judgment. Comfort operating in a high-ambiguity, fast-changing environment where the team, roadmap, and stakeholder model are still taking shape. Practical AI fluency and curiosity about how modern AI tools can improve analytical workflows, strategic synthesis, and decision support. Experience in strategy consulting followed by data science work in technology, or data science work within a consulting analytics practice, is a strong plus. An advanced degree is welcome but not required. We care most about your ability to combine analytical rigor, business judgment, and action-oriented communication. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the team The Applied AI Engineering team helps enterprises put Codex to work on their most important engineering workflows. We work alongside customer engineers to turn frontier AI capabilities into systems that improve how software is built, shipped, secured, and operated. Our work spans unfamiliar codebases, legacy systems, data pipelines, infrastructure, and enterprise integrations. We discover where AI can make a meaningful difference, build and prove solutions, and turn what we learn into reusable architectures, tools, and feedback that help shape Codex. About the Role We’re looking for an engineer who enjoys understanding complex systems, building alongside customers, and solving problems where the path forward isn’t obvious. You’ll work directly with technical leaders and engineers to identify valuable opportunities and take them from discovery through implementation and evaluation. You might build a Codex-assisted release review workflow, modernize a legacy data pipeline, accelerate a dependency migration, or connect an agent to the systems and context it needs to investigate production incidents. You’ll combine hands-on software engineering, architecture, and technical leadership to make Codex part of how customers get important work done. Success means delivering the agreed solution, demonstrating measurable improvement, and helping the customer sustain and expand its use. Working with our product, engineering, research, and account teams, you’ll turn deployment experience into evidence that informs improvements to Codex. The position is based in Sydney, Australia , with three office days each week. Relocation assistance is available to new employees. In this role, you will: Lead customer engineering engagements from workflow discovery and architecture through implementation, evaluation, and handoff, with clear customer owners, delivery milestones, and measurable success criteria. Assess customer repositories, data systems, infrastructure, security controls, and development practices to understand constraints, determine readiness, and identify where Codex can have the greatest impact. Build and validate workflows alongside customer engineers, developing integrations, tool gateways, evaluation harnesses, reference implementations, and automations, often using Codex in your own development process. Establish baselines, quality and security guardrails, and evaluation methods that demonstrate whether a workflow is reliable, useful, and ready to expand. Turn customer engagements into reusable tools, architectures, and deployment patterns, and translate recurring challenges into actionable feedback for product, engineering, and research teams. Document technical decisions and results for handoff and reuse, establishing clear customer, partner, or delivery-team ownership for production release, ongoing operation, and maintenance. Use evidence to recommend when to expand a workflow, redirect an engagement, or stop work when value or feasibility cannot be demonstrated. You’ll thrive in this role if you: Have 5+ years of relevant experience in software development, deployment engineering, data or infrastructure engineering, technical consulting, or solutions architecture. Can build, debug, and evaluate production-relevant software and quickly understand unfamiliar systems. Actively use AI coding tools, have adapted them to your own work, and have a clear perspective on how agents can automate complete workflows. Bring technical depth in one or more areas, such as software engineering, data systems, cloud infrastructure, or enterprise integrations, and enjoy learning across disciplines. Understand how software is tested, released, and operated, and can reason about the security, reliability, and access requirements of enterprise environments. Can turn an ambiguous customer problem into a practical technical plan with credible estimates, measurable acceptance criteria, and clear tradeoffs. Communicate effectively with technical leaders and hands-on engineers, collaborate through uncertainty, and turn individual customer work into solutions others can reuse. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team Our team builds classification and evaluation systems that give post-training and research teams fast, reliable feedback on model behavior. We combine machine learning and production engineering to make these capabilities accurate, efficient, and useful at scale, helping researchers assess changes and improve models and products. We work closely with researchers and data scientists and have broad ownership of the software that makes these capabilities available. Our work spans real-time systems, data engineering, model serving, and tools for experimentation, with careful attention to performance, reliability, and privacy. About the Role We’re looking for a software engineer to build and evolve our classification and evaluation platform. You’ll develop services, online and offline pipelines, and tools that help researchers and data scientists turn an idea into a working measurement and iterate on it quickly. This role combines software and data engineering with hands-on production ownership. You’ll shape the architecture, deliver new capabilities, improve inference efficiency, and keep the system dependable as workloads and requirements evolve. Strong candidates will bring deep software engineering expertise and an interest in building a technical product in close partnership with its users. In this role, you will: Design and build software services and APIs for configuring, running, and managing classifiers and evaluations. Build and operate online and offline classification pipelines that support reliable, efficient execution at scale. Improve model-serving performance, including throughput, latency, concurrency, and compute utilization. Build tools that make experimentation, debugging, and iteration straightforward for researchers and data scientists. Own production reliability, observability, and incident response, and reduce the operational burden of running the platform. Partner with machine learning engineers to bring new classification capabilities into production. Work closely with post-training researchers and data scientists to understand their workflows, identify high-impact improvements, and shape the product. You might thrive in this role if you have: Experience designing, building, and operating software services or distributed systems at scale. Strong fundamentals in API design, concurrency, caching, performance, and failure recovery. Ability to investigate complex production problems and make sound architectural tradeoffs. A track record of owning software from initial design through deployment and ongoing operation. Strong product judgment and an interest in working directly with technical users. Comfort with ambiguous problems and broad ownership across multiple parts of a system. Fluency in using AI agents to move quickly across multiple workstreams in a fast-paced environment. Interest in machine learning, data science, and statistics; experience with model serving, ML platforms, or inference optimization is a plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our API customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll work with industry-leading technology companies like Stripe, Uber, and Reddit to bring new AI capabilities into the products their customers use every day. You’ll partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences. The work combines rapid experimentation with the demands of established products: complex systems, real users, and high expectations for quality and performance. Lessons from these deployments inform OpenAI’s product and research teams. About the role You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact – not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our NYC office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Deeply embed with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our API. Forge relationships with CTOs, AI Product and engineering leaders to ensure their application’s successful deployment at scale. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Build targeted prototypes, pilots, and model evaluations with customer teams to test product ideas, guide architecture decisions, and inform their product roadmaps. Collaborate with our Product and Research teams in validating upcoming frontier AI capabilities in customer environments, and deliver high-signal feedback to steer OpenAI’s roadmap. Scale the Applied AI Engineer function through sharing knowledge and publishing best-practices to our internal and external repositories. Evaluate emerging model capabilities, developer tools, and implementation patterns, and translate relevant advances into practical recommendations for customer applications. Work alongside customer teams through on-site workshops and implementation sessions, helping resolve technical challenges and strengthen relationships. This includes occasional travel. You’ll thrive in this role if you: Bring 8+ years of deep, hands-on technical experience and an eagerness to work closely with customers. Our team consists of former startup founders, software and ML engineers, technical product managers and solution architects. Have a track record of personally leading complex, production-scale AI/ML systems from ambiguous discovery through production deployment, adoption, and measurable business impact. Are passionate about being on the forefront of the latest AI industry trends, incl. agent architecture patterns, advanced prompt and context engineering, evaluation frameworks, safety, and security. Are proficient in Python, JavaScript, TypeScript, or similar languages and are comfortable building production-quality prototypes and reference implementations. Demonstrate strong technical judgment: know when to go deep personally, when to mobilize specialists, and how to make clear recommendations with incomplete information. Have a humble attitude and an eagerness to help others with empathy. Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize. Thrive in dynamic environments and can navigate ambiguity with ease. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team The ChatGPT Velocity team owns the health of the end-to-end developer and deploy loop for ChatGPT-facing services. Our mission is to help ChatGPT engineers ship confidently with a fast, lightweight development cycle and a trusted path to production. ChatGPT development depends on a long chain: local environments, Bazel builds, CI, tests, merges, release candidates, deploys, synthetics, alerts, and production health. When any link is slow, flaky, or unclear, engineers lose hours, fixes reach users later, and on-call load rises. This team turns that cross-cutting drag into owned, measured, and durable improvements. About the Role We are hiring an experienced infrastructure engineer to make ChatGPT development dramatically faster and more reliable. You will work across local development, build systems, CI, deployment infrastructure, test ownership, and production safety signals to reduce the time and attention required to move a healthy change from development to production. This is not a narrow tooling role. The best person for this job will be comfortable diagnosing messy distributed systems, reading developer pain signals from Slack and metrics, building reliable automation, negotiating ownership across teams, and making tradeoffs between velocity and production safety. You should enjoy treating engineers as users and turning confusing workflow failures into clear, measured systems. In this role, you will: Reduce local development startup and iteration latency for ChatGPT engineers Improve Bazel and build performance for local machines, devboxes, and CI, including cache effectiveness, reproducibility, disk usage, remote cache behavior, and observability into invalidations. Improve CI reliability and merge throughput by reducing unrelated failures, tail latency, flaky or mis-owned tests, quarantine friction, and repeated manual reruns. Build agents that help PRs make forward progress: rebasing, conflict resolution, CI triage, safe reruns, owner routing, and clear identification of external blockers. Make deploy pipelines more self-healing, especially when transient alerts, known-bad clusters, recovered synthetics, stale RCs, or noisy gates should not require human babysitting. Improve deploy observability so engineers can quickly tell where a change is, what is blocking it, whether the signal is trustworthy, and who owns the next action. Establish lightweight metrics for before-and-after impact, such as commit-to-prod latency, deploy-window throughput, CI tail latency, local bootup time, failure rates, manual interventions, false-positive gates, and developer-reported pain. You might thrive in this role if you: Have strong experience with large-scale developer infrastructure, build systems, CI/CD, deployment systems, or production reliability. Can debug across local machines, devboxes, remote caches, monorepos, service dependencies, auth systems, and distributed deploy pipelines. Are comfortable with systems like Bazel, Buildkite, Kubernetes, Temporal, Python/TypeScript services, GitHub workflows, and large monorepo tooling, or can ramp quickly on equivalents. Think in product loops as much as systems loops: you care whether developers can understand and trust the workflow, not just whether a subsystem is technically healthy. Know how to replace repeated manual intervention with policy-backed automation while preserving production safety. Communicate well across teams and can turn ambiguous "this is slow/broken/flaky" reports into crisp owners, hypotheses, metrics, and shipped fixes. Prefer practical measurement over vibes, while still knowing that developer frustration is often the first signal of a real systems problem. Are energized by high-leverage work where a small improvement can save hundreds of engineering hours. Nice to have: Experience improving developer experience in a very large monorepo. Experience with remote execution, remote caching, hermetic builds, or cache reproducibility. Experience designing CI quarantine, test ownership, merge queue, or auto-revert systems. Experience with progressive delivery, canary/preview/stable deploy pipelines, synthetics, alert quality, and deploy-manager style workflows. Experience building agent-assisted developer workflows, such as automated PR babysitting, CI triage, or conflict resolution. Familiarity with security and access-control constraints around secrets, internal auth, VPN/exit-node networking, and local development. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.