OpenAI jobs in San Francisco, CA - 502 jobs

About the Team The Strategic Deployment team makes frontier models more capable, reliable, and aligned to transform high-impact domains. On one hand, this involves deploying models in real-world, high-stakes settings to drive AI-driven transformation and elicit insights-training data, evaluation methods, and techniques-to shape our frontier model development. On the other hand, we leverage these learnings to build the science and engineering of impactful frontier model deployment. As a key element of this effort, OpenAI for Science aims to harness AI to accelerate the process of scientific research. This involves building models and an AI-powered platform that speeds up discovery and helps researchers everywhere do more, faster. About the Role As a Research Scientist focused on the mathematical sciences, you will help build models, tools, and workflows that move theoretical research-in fields such as mathematics, theoretical physics, and theoretical computer science-forward. You\'ll design domain-specific data and signals, shape training and evaluation, guide how to wire models to scientific tools, and work with the academic community to speed up adoption and impact. We\'re looking for people who... Hold a current or recent academic position in mathematical sciences (mathematics, theoretical physics, theoretical computer science) or a related field Regularly use frontier models in their own research Move easily between theory and code, and are eager to contribute technically as well as academically Either know or are eager to learn modern AI and run AI experiments end-to-end Are strong scientific communicators Care about rigor and reproducibility in scientific results This role is based in San Francisco, CA. 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 Assist in designing and building frontier AI models that are great at solving frontier mathematical sciences problems Build high-quality scientific datasets and synthetic data pipelines (symbolic, numeric, and simulator-based) Design reinforcement and grading signals for physics and run reinforcement learning/optimization loops to improve model reasoning Define and run evals for scientific reasoning, derivations, simulations, and literature grounding; track progress over time Partner with research labs and the academic community Drive adoption of frontier AI within the scientific community Uphold high standards for safety, data governance, and reproducibility You might thrive in this role if you Are passionate about pushing the boundaries of your field using AI Have used ChatGPT to do calculations and prove or improve lemmas in your field of study Communicate clearly to both scientists and AI engineers; you like collaborating across teams and with academia Nice to have Open-source contributions to mathematical science or AI tooling Experience building or curating domain datasets and benchmarks Experience engaging a research community (teaching, workshops, tutorials, standards) 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. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. Compensation Range: $380K - $460K #J-18808-Ljbffr

About the Team The Strategic Finance team at OpenAI plays a critical role in shaping the company's long-term trajectory. We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding Data Science function, we're building a best-in-class Forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more. We are developing scalable forecasting infrastructure to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy - supporting key investment decisions and unlocking OpenAI's full potential. About the Role We're looking for a senior Machine Learning Data Scientist to lead our forecasting initiatives. You'll be one of the founding members of the Forecasting pillar within Strategic Finance Data Science, responsible for building and scaling robust, interpretable, and production-ready forecasting systems. Your models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, LTV, compute consumption, and profitability. This is a highly cross-functional role, requiring technical excellence, strong product intuition, and business acumen. You'll collaborate with product managers, researchers, engineers, and finance leaders to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI. This role is based in San Francisco, CA. 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: Build time-dependent statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains. Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability. Develop and productionize scalable, interpretable forecasts for user growth, monetization, compute load, customer lifetime value, and profitability. Contribute to self-service forecasting tools and internal platforms, enabling teams across OpenAI to access and act on real-time predictions. Research and evaluate emerging tools and techniques in the forecasting space, such as TimeGPT, large language model extensions, causal forecasting, and hybrid approaches. Drive strategic insight generation by translating technical outputs into business-aligned recommendations and decision frameworks. Collaborate closely with cross-functional teams to ensure forecasts are well-integrated into planning processes, experimentation workflows, and executive decision-making. You might thrive in this role if you have: Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research). 7+ years of experience in applied data science, with deep hands-on exposure to forecasting, predictive modeling, or marketplace systems. Expertise in time-series forecasting techniques and practical understanding of model trade-offs across performance, explainability, and scalability. Proficiency in Python, SQL, and tools such as scikit-learn, PyTorch/TensorFlow, and forecasting libraries. Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments. Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders. Self-directed, intellectually curious, and comfortable leading ambiguous projects from 01. Bonus if you have: Experience building or scaling forecasting platforms in a high-growth company. Familiarity with causal inference, Bayesian forecasting Passion for AI and a strong point of view on how machine learning should inform strategic decisions in fast-moving environments. 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 do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 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. Compensation Range: $255K - $405K #J-18808-Ljbffr

About The Team The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy. Learn more about OpenAI's approach to safety About The Role At OpenAI, we're dedicated to advancing artificial intelligence, and we know that creating a secure and reliable platform is vital to our mission. That's why we're seeking Research Engineers to help us build out our trust and safety capabilities. In this role, you'll be working closely with our engineers, researchers and data scientists to create and improve our safety mitigations via model training and ML systems work. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner. In This Role, You Will Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Implement safety measures at various stages of AI model development and deployment. This includes pre-training data filtration, post-training evaluation, deployment time safety mitigations and continuous monitoring to ensure models align with human values and safety standards. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large. You Might Thrive In This Role If You Demonstrate a passion for AI safety and making cutting-edge AI models safer for real-world use. Demonstrated experience in deep learning and transformers models. Proficiency in frameworks like PyTorch or Tensorflow. Strong foundation in data structures, algorithms, and software engineering principles. Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization. Ability to work collaboratively with cross-functional teams across research, product and engineering. 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 do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 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. #J-18808-Ljbffr

A leading AI research firm in San Francisco is seeking an engineer to operate next-generation compute clusters. This role involves scaling Kubernetes clusters and managing complex infrastructure for high-impact research. Candidates should have hands-on experience with Kubernetes and automation tools, as well as strong problem-solving skills in operational contexts. The position offers the opportunity to work with cutting-edge technology and contribute to impactful AI research. #J-18808-Ljbffr

An innovative firm is seeking an experienced frontend engineer to join their dynamic Applied Engineering teams. In this role, you'll work in a fast-paced environment to develop and deploy cutting-edge web applications that impact millions of users globally. Your expertise in TypeScript and React will be crucial as you partner with cross-functional teams to enhance user experience and build robust systems. This role offers the opportunity to thrive in a culture that values collaboration, continuous learning, and the challenge of ambiguity. If you're passionate about technology and eager to make a difference, this is the perfect opportunity for you. #J-18808-Ljbffr

About the Team The Sora team is working on making video a key capability of OpenAI's foundation models. We are a hybrid research and product team that seeks to understand and expand the capabilities of our video models, while ensuring their reliability and safety. We accomplish this both through directly studying and experimenting with the models, as well as deploying them into the real-world to distribute their benefits widely. About the Role As a Distributed Systems/ML engineer, you will work on improving the training throughput for our internal training framework and enable researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. We're looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. This role is based in San Francisco, CA. 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: Collaborate with researchers to enable them to develop systems-efficient video models and architectures Apply the latest techniques to our internal training framework to achieve impressive hardware efficiency for our training runs Profile and optimize our training framework You might thrive in this role if you: Have experience working with multi-modal ML pipelines Love diving deep into systems implementations and understanding their fundamentals in order to improve their performance and maintainability Have strong software engineering skills and are proficient in Python. Have experience understanding and optimizing training kernels Are passionate about understanding stable training dynamics 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 do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 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. Compensation Range: $380K - $555K #J-18808-Ljbffr

About the Team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI's products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI's tools are deployed securely and responsibly across critical sectors. About the Role As a Quantitative Intelligence Analyst, you will focus on discovering novel and emerging risks in complex human-AI systems before they are well-defined, measurable, or widely understood. You will use deep subject matter expertise and quantitative tooling to surface weak, early, and unconventional risk signals. You will build analytic models that explain how harms could emerge and translate ambiguous patterns into structured, data-driven insight. Your work will help identify potential gaps in policy or coverage and operationalize previously unmeasured problems into signals that can support detection, mitigation, and planning downstream. You will develop analytical frameworks that map how new risks form, evolve, and propagate as products change, policies shift, and external events unfold. Your analyses will directly inform strategic risk prioritization and planning across the company, with regular visibility through strategic risk products. This role is based in San Francisco, CA (hybrid, 3 days/week). Relocation support is available In this role, you will: Discover and define new quantitative risk signals where no established metrics exist, using subject matter expertise to surface early, weak, or unconventional indicators Translate complex trust and safety challenges into measurable signals that can be tracked and stress-tested over time Develop upstream early-warning and signal frameworks that inform downstream detection and mitigation efforts Analyze risk trends to assess the underlying drivers and causal factors behind those changes Conduct data mining and statistical modeling to understand how risks originate, evolve, and propagate across systems Design adversarial scenarios, and quantitative stress tests to assess exposure, coverage gaps, and vulnerabilities Produce clear data-driven briefs to support risk prioritization, contingency planning, and strategic risk products across teams You might thrive in this role if you: Have 3-6+ years of experience in quantitative intelligence analysis, trust & safety, security analysis, or risk-focused research Are comfortable working on complex trust and safety domains such as child safety, violent activities, self-harm, or similar high-stakes risk areas Familiarity with data mining, statistical modeling, and supervised learning methods Understand how to monitor signals or models for data drift, behavioral adaptation, or performance degradation over time, and can diagnose likely causes Experience in operationalizing adversarial or strategic risk behaviors, including through red-team exercises, agent-based modeling, or structured scenario analyses Comfortable working with Python and SQL Nice to have: Experience with quantitative stress testing or Monte Carlo simulations to assess uncertainty and tail risk 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 Aff… 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 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. #J-18808-Ljbffr

About the team OpenAI's mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world's best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the Role Our GTM team is uniquely positioned to help customers realize the transformative potential of advanced AI models for their businesses and end users. As part of the GTM Strategy & Operations team, you'll play a critical role in guiding the GTM strategy and driving operational efficiency to accomplish this mission. This role will serve as a trusted advisor to OpenAI for Government leadership and OpenAI for Education leadership -providing data-driven insights, managing core operating cadences, and leading high-impact projects that influence how we engage with government customers and scale our business. You'll collaborate cross-functionally with Finance, Enablement, Data and Growth Strategy teams to align efforts, drive efficiencies, and accelerate growth. In this role, you'll: Drive operating cadences for the Government and Edu businesses (e.g. forecasting, pipeline review, top accounts review, monthly / quarterly business reviews) and conduct strategic analyses to determine trends and identify opportunities for process and strategy optimization Collaborate with GTM leadership and cross-functional stakeholders to develop go-to-market strategy and resource plans Design and manage territory allocation to optimize Government and Edu team performance; Collaborate closely with the GTM leadership to ensure alignment with overall business objectives and provide data-driven recommendations for territory adjustments. Lead strategic projects to improve efficiency and effectiveness across the revenue organization. Partner closely with technical teams to implement processes systematically. Work closely with the data team to ensure data accuracy and availability for revenue-related activities. You might thrive in this role if you have: 7+ years experience in revenue operations or strategy at a high-growth, technology company Extensive experience with government-related sales or GTM organizations. Preferred if covered multiple areas including national security, federal civilian, state and local government, business partnerships, and/or international public sector Some experience with Edu-related sales or GTM organizations (higher education, k-12, and/or international) Proficiency in Salesforce.com and data analysis tools (e.g., SQL, Excel) Strong analytical skills with a focus on attention to detail Experience building territories, comp plans, and setting quotas for GTM teams Exceptional project management skills, with experience leading complex, cross-functional initiatives Strong communication skills and executive presence An understanding of the AI landscape, our applications, and the problems they solve for our customers. The ability to thrive in ambiguity and work autonomously Exceptional organizational skills The ability to operate with high horsepower, be adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization 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. 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. #J-18808-Ljbffr

An innovative company is seeking a talented software engineer to join their dynamic Inference team. This role involves designing and implementing infrastructure for large-scale multimodal models, focusing on high-performance delivery of audio and image inputs. You'll collaborate closely with researchers and product teams to push the boundaries of AI technology, ensuring reliable production services. If you thrive in fast-paced environments and enjoy tackling complex challenges, this opportunity offers a chance to make a significant impact in the AI landscape. #J-18808-Ljbffr

About the Team OpenAI's B2B Applications organization builds and operates the products that bring our cutting-edge research to millions of companies and developers worldwide. We power the OpenAI API and the Enterprise products that empower people around the world to do their jobs better and more efficiently. Our teams span product engineering, backend infrastructure, and safety, working together to ensure that OpenAI's technology is delivered with reliability, security, and a world-class user experience. About the Role We're looking for frontend engineers to craft the user interfaces that make advanced AI accessible and intuitive. You'll partner with design, product, and research teams to build responsive, performant, and secure web applications that bring OpenAI's models, and enterprise-facing products to life. This role is based in San Francisco, CA or New York City. 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 Build and maintain scalable web applications using modern JavaScript/TypeScript, React, and related technologies. Create reusable UI components and front-end infrastructure to accelerate product development. Optimize client performance and ensure accessibility across browsers and devices. Work closely with designers to implement intuitive, user-friendly interfaces. Contribute to end-to-end product planning and decision-making. You might thrive in this role if you 5+ years of professional experience (excluding internships) building production web applications at scale. Are fluent in TypeScript/JavaScript, React, and modern web tooling. Care deeply about design fidelity, performance, and accessibility. Enjoy iterating quickly to deliver polished, user-focused features. Former founder, or early engineer at a startup who has built a product from scratch is a plus. Interest in AI/ML (direct experience not required). Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines. 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. #J-18808-Ljbffr

About the Team The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. About the Role The Threat Modeling Lead will own OpenAI's holistic approach to identifying, modeling, and forecasting frontier risks from frontier AI systems. This role ensures that our evaluation frameworks, safeguards, and taxonomies are robust, high-coverage, and forward-looking. This leader will help the company answer the “why” behind our most stringent risk-prevention efforts, shaping the rationale for prioritizing and mitigating risks across domains. They will serve as the central node connecting technical, governance, and policy perspectives on prioritization, focus and rationale on our approach to frontier risks from AI. In this role, you will: Develop and maintain comprehensive threat models across all misuse areas (bio, cyber, attack planning, etc.). Develop plausible and convincing threat models across loss of control, self-improvement, and other possible alignment risks from frontier ai systems. Forecast risks by combining technical foresight, adversarial simulation, and emerging trends. Pair closely with technical partners on capability evaluations to ensure these map to and cover the gambit of severe risks differentially enabled by frontier AI systems. Pair closely with Bio and Cyber Leads to size the remaining risk of the designed safeguards and translate threat models into actionable mitigation designs. Act as the thought partner and explainer of “why” and “when” for high-investment mitigation efforts-helping stakeholders understand the rationale behind prioritization. Serve as the central node connecting technical, governance, and policy perspectives on prioritization, focus and rationale on our approach to misuse risk. You might thrive in this role if you: Understand risks from frontier AI systems and have a strong grasp of AI alignment literature. Bring deep experience in threat modeling, risk analysis, or adversarial thinking (e.g., security, national security, or safety). Know how AI evaluations work and can connect eval results to both capability testing and safeguard sufficiency. Enjoy working across technical and policy domains to drive rigorous, multidisciplinary risk assessments. Communicate complex risks clearly and compellingly to both technical and non-technical audiences. Think in systems and naturally anticipate second-order and cascading risks. 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. #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking a Software Engineer for Privacy Infrastructure. You will design and operate systems to support legal compliance workflows and collaborate with various teams to solve large-scale data challenges while ensuring data security. The ideal candidate will have experience with large-scale data systems, secure solutions, and strong communication skills. This role offers competitive compensation and potential equity. #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking a Software Engineer for the Fleet Hardware team. This role focuses on ensuring the reliability and uptime of compute fleets, minimizing hardware failures. Responsibilities include building automation systems, collaborating with various technical teams, and developing monitoring tools. Ideal candidates have experience with large-scale server environments and proficiency in languages like Python or Go. OpenAI values safety and seeks individuals who can navigate complex hardware systems. #J-18808-Ljbffr

About the Team The ChatGPT team works across research, engineering, product, and design to bring OpenAI's technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products. About the Role We are looking for an experienced fullstack engineer to join our new ChatGPT Growth team to build and scale the systems that power OpenAI's marketing channels and spend efficiency. Your role will include projects such as developing campaign management tools, integrating with major ad platforms, building real-time attribution and reporting pipelines, and enabling experimentation frameworks to optimize our objectives. As we are in the early stages of building this platform, we will rely on you to design and implement foundational MarTech infrastructure that make our marketing investments more effective, measurable, and automated. We value engineers who are impact-driven, autonomous, and adept at turning ambiguous business goals into robust technical systems. In this role, you will Drive long-term growth of ChatGPT by building the technical infrastructure behind OpenAI's paid marketing platform. Design and deploy backend APIs, data pipelines and services to support campaign management, attribution, and spend optimization. Execute on projects by working closely with growth marketing, data science, product, and other engineering teams to land impact on growth goals. Create a diverse and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group-think. You might thrive in this role if you Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary. Have shipped systems that power marketing or growth use cases, such as attribution pipelines, campaign management tools, or integrations with major ad platforms. Are highly analytical and have experience designing and implementing A/B tests, with a scientific approach to data-based experiments. You know exactly what and how to track business metrics and KPIs. Have a voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others. 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. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. Compensation Range: $160K - $385K #J-18808-Ljbffr

About the Team The Scaling team is responsible for the architectural and engineering backbone of OpenAI's infrastructure. We design and deliver advanced systems that support the deployment and operation of cutting‑edge AI models. Our work spans system software, networking, platform architecture, fleet‑level monitoring, and performance optimization. As part of the Stargate initiative, the Industrial Compute team's mission is to build and operate the foundation that powers our research and products. To deliver on this mission, there is a critical need for advanced lab infrastructure and capabilities to perform rapid prototyping, targeted and end‑to‑end testing, and system qualification across the full software and hardware stack to ensure readiness and stability for fast and smooth deployment of our large‑scale clusters. About the Role We are seeking an experienced engineer to lead advanced R&D, rapid prototyping, and build‑out of in‑house lab infrastructure to support system bring‑up, testing, and qualification for next‑generation systems. In this role, you will: You will work closely with the research, fleet, silicon, hardware health, and external vendors and partners to accelerate system qualification, increase deployment velocity, and improve platform and fleet robustness at scale. You will focus on detailed evaluation and systematic testing of early hardware, including servers, racks, NICs, switches, chips, optics, transceivers, and other lab prototype equipment. Your engineering work will span a broad range of software (systems, firmware, RDMA, collectives, cluster provisioning, orchestration, etc.) and/or hardware solutions (e.g., FPGA development) to manage lab infrastructure, support bring‑up activities and perform extensive characterizations of new hardware through microbenchmarking, fault injection, impairment modelling, localized stress testing, and end‑to‑end evaluations. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if you: Bachelor's Degree in Computer Science or a related field Strong background in system architecture, large‑scale distributed systems and AI/HPC networking expertise (high performance multipath transport protocols, RDMA, RoCE, Infiniband) 5+ years of software development experience in C/C++ and Python Experience developing and running large‑scale distributed AI workloads Hands‑on lab experience with datacenter hardware (racks, servers, switches, NICs, accelerators, etc.) Experience with low‑level software and/or FPGA hardware development (e.g., firmware or RTL) 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. #J-18808-Ljbffr

About the Team The Release Engineer team is responsible for building and maintaining the systems that power software delivery-from CI/CD pipelines and artifact management to release automation and fleet telemetry. We ensure software across bootloaders, firmware, operating systems, and cloud services is built reproducibly, validated rigorously, and released safely at scale. About the Role As a Release Engineer, you'll design, build, and operate release infrastructure that enables reliable, secure, and traceable software delivery across complex multi-component systems. You'll partner closely with embedded, cloud, and QA teams to ensure that every build-from development to OTA deployment is fast, verifiable, and production‑ready. We're looking for engineers who take pride in automation, build reproducibility, and system reliability-and who enjoy building the connective tissue that allows hardware and software to ship together seamlessly. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and operate CI/CD pipelines for multi-component builds (bootloader, firmware, OS images, backend, companion apps) using hermetic toolchains. Define versioning and branching strategies; automate promotions, changelogs, and artifact retention. Integrate unit, integration, and hardware-in-the-loop (HIL) test results; quarantine flaky tests, auto‑bisect failures, and block unsafe promotions. Build A/B OTA update flows with verity and health checks; run staged rollouts and canaries; implement safe rollback and roll‑forward strategies. Implement code signing for binaries and firmware, generate SBOMs, run vulnerability scanning, and attach build attestations and provenance. Manage dashboards and alerts for build health, promotion latency, failure rates, and fleet update telemetry. You might thrive in this role if you: Have experience building and operating build and release systems for consumer devices, robotics, mobile, or embedded products. Are proficient in scripting and automation languages such as Python or Bash. Have strong Linux user‑space fundamentals. Have experience with GitHub Actions or Buildkite, artifact registries, and reproducible toolchains. Have experience managing vendor BSPs and toolchains. Have delivered secure OTA or image updates with staged rollouts at scale. Are familiar with key management and supply‑chain hardening. Have a track record of metrics‑driven improvement and continuous optimization. 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. #J-18808-Ljbffr

An established industry player is seeking a passionate Research Scientist to innovate and advance machine learning techniques. This role offers the opportunity to develop impactful research while collaborating across teams to push the boundaries of AI. Ideal candidates will have a track record of innovation, a strong understanding of deep learning algorithms, and a commitment to the ethical implications of AI technology. Join a forward-thinking organization dedicated to ensuring AI benefits all of humanity and play a pivotal role in shaping the future of technology. #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking a Software Engineer to design and build evaluation systems for advanced AI. The role involves collaboration across research and product teams, with a strong emphasis on creating reliable evaluation pipelines. Candidates should have a solid software engineering background, experience with AI agents, and strong communication skills. This position offers a competitive salary and a hybrid work model. #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking a technical leader to build and lead a team of data scientists and ML engineers for developing forecasting platforms. You will optimize critical business decisions through robust, interpretable forecasting models. Ideal candidates should have more than 10 years in data science and engineering, particularly in forecasting, with a strong ability to communicate complex ideas and build high-performing teams. #J-18808-Ljbffr