San Francisco, California, United States · On-site
$295k–$445k/yr
About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proacti…
Skills: Machine Learning, Software Engineering, Statistics, Large Language Models, Reinforcement Learning
San Francisco, California, United States · On-site
$295k–$445k/yr
About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proacti…
Skills: Machine Learning, Software Engineering, Statistics, Behavioral Science, Human Computer Interaction
San Francisco, California, United States · On-site
$295k–$445k/yr
About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proacti…
Skills: Machine Learning, Software Engineering, Reinforcement Learning, RLHF, RLAIF
San Francisco, California, United States · On-site
$295k–$445k/yr
About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proacti…
Skills: Machine Learning, Software Engineering, Post-training, RLHF, RLAIF
San Francisco, California, United States · On-site
$295k–$445k/yr
About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proacti…
Skills: Machine Learning, Software Engineering, Reinforcement Learning, RLHF, RLAIF
San Francisco, California, United States · On-site
$191k–$225k/yr
About the Company: Tools for Humanity (TFH) designs and builds technology behind World. World is building a real human network designed to accelerate people in the age of AI. As bots and autonomous agents reshape the int…
Skills: Go, Rust, TypeScript, Distributed Systems, Ethereum
San Francisco, California, United States · On-site
$208k–$245k/yr
About the Company: Tools for Humanity (TFH) designs and builds technology behind World. World is building a real human network designed to accelerate people in the age of AI. As bots and autonomous agents reshape the int…
Skills: Product Management, Stakeholder Management, Roadmap Definition, Web3, Digital Identity
San Francisco, California, United States · Hybrid
$266k–$385k/yr
About the Team Our economics team is continuously working to improve our understanding of an AI-driven economy. About the Role We are seeking a highly technical Economist to join the OpenAI Economic Research team studyin…
Skills: Econometrics, Applied Microeconomics, SQL, Python, R
San Francisco, California, United States · Hybrid
$188k–$349k/yr
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders …
Skills: Machine Learning, Computer Vision, Video Understanding, Generative AI, PyTorch
San Francisco, California, United States · On-site
About the RoleThe Director, Merchandising Strategy at Athleta reports to the Head of Merchandising. In this role, you will help shape and drive long-range product and category strategies, identify growth and innovation o…
Skills: Merchandising Strategy, Strategic Thinking, Analytical Rigor, Cross-functional Collaboration, Pricing Strategy
San Francisco, California, United States · On-site
$8k–$12k/mo
About CTGT & The Mission Despite massive investment in commercial AI, organizations often find that demonstrated value is elusive, primarily due to the non-deterministic risk inherent to generative models. CTGT is the de…
Skills: Python, JavaScript, Git, AWS, GCP
San Francisco, California, United States · Hybrid
$106k–$119k/yr
Who We Are Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, an…
Skills: ASC 606, SQL, Revenue Recognition, Public Accounting, Financial Reconciliations
San Francisco, California, United States · Hybrid
$266k–$295k/yr
About the Team The Core Models team shapes how our models interact with people. We view the model as the product itself, aiming for intuitive experiences that exceed user expectations and feel like magic. About the Role …
Skills: Model Design, User Experience, Technical Writing, Data Strategy, Human-AI Interaction
San Francisco, California, United States · On-site
Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the r…
Skills: Product Management, Roadmap Development, Operational Planning, Resource Allocation, Quality Management
San Francisco, California, United States · Hybrid
$200k–$225k/yr
Swiftly is a retail digital technology company headquartered in the Bay Area that empowers regional and independent grocers to compete in a digital-first world. Swiftly provides best-in-class app, web, loyalty, and e-com…
Skills: Product Management, AI Strategy, B2B SaaS, Roadmap Execution, Executive Presence
San Francisco, California, United States · Remote OK
$195k–$258k/yr
Circle (NYSE: CRCL) is one of the world’s leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain in…
Skills: SQL, Python, R, Statistical Modeling, Data Visualization
San Francisco, California, United States · Remote OK
$180k–$250k/yr
Role Engineer focusing on providing optimal user and agent experiences on the LanceDB platform. Takes high-level direction (e.g., "identify where UX is significant ahead of AX and drive more parity") and drives to result…
Skills: Rust, Typescript, React, Python, Kubernetes
San Francisco, California, United States · Hybrid
$200k–$300k/yr
About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldw…
Skills: Risk Management, Commercial Strategy, Credit Risk, Portfolio Risk, Payments Risk
San Francisco, California, United States · On-site
Overview Company Overview: Elevate your security career with Allied Universal® Enhanced Protection Services, a global leader in security and threat mitigation. We specialize in risk consulting, executive protection, inte…
Skills: Open-Source Intelligence, Risk Assessment, Incident Management, Crisis Response, Threat Mitigation
San Francisco, California, United States · On-site
$191k–$222k/yr
At Quantcast, we don't just build advertising technology, we revolutionize how it works. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audiences across the open …
Skills: Revenue Forecasting, Pipeline Management, Salesforce Administration, Territory Design, Account Segmentation
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Design and run experiments to scale compute on context and improve the post-training stack for frontier agents. Collaborate across research, product, and infrastructure teams to translate user needs into model improvements and ship capabilities into production.
Requires strong technical fundamentals in machine learning, software engineering, or statistics with hands-on experience in LLMs and reinforcement learning. Candidates must be able to translate vague behavioral problems into concrete experiments and possess strong research taste and engineering execution.
The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve.
We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste.
Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use.
We believe that the final enabler for AGI is spending compute on context. As a Context Researcher on Agent Post-Training, you will scale compute spent on context. You will get to work in our frontier training stack on enabling the next paradigm of model training with a clear product interface for iterative deployment (Codex Chronicle). You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models.
Design and run experiments that improve scaling of compute on context.
Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, evals, diagnostics, and model-behavior analysis.
Build evals and environments that expose the next set of model failures, then turn those failures into training data, product fixes, or new research directions.
Partner with Codex and ChatGPT product teams to understand what users need and translate product signal into model improvements.
Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior.
Help decide which integrations, capabilities, and fixes are ready for inclusion in major model runs.
Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness.
Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments.
Debug hard failures in shipped or near-shipped models and turn messy qualitative behavior into concrete hypotheses, experiments, and fixes.
Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and can learn quickly across the parts you have not worked in before.
Have hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals, graders, synthetic data, model training, coding agents, tool-using agents, or production ML systems.
Are excited by open-ended problems where the path is unclear, the signal is noisy, and the right answer requires both research taste and engineering execution.
Care about product impact and model behavior, not just benchmark movement. You have opinions about what makes an agent useful, reliable, honest, tasteful, and easy to work with.
Can move from a vague behavioral problem to a concrete experiment: define the hypothesis, build the pipeline, run the model, analyze the result, and decide what to do next.
Are comfortable working across research, product, infrastructure, data, evals, and safety boundaries, and can communicate clearly with each group.
Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous.
Want to train and ship the models that make agents genuinely useful for developers, enterprises, researchers, and everyday users.
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.
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. 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.
Offices: San Francisco, CA 94110, US
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