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 · Remote OK
$179k–$273k/yr
Thumbtack helps millions of people confidently care for their homes. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience.…
Skills: Backend Engineering, API Design, System Integration, AI Workflows, Technical Design
San Francisco, California, United States · Hybrid
$293k–$325k/yr
About the Team The Future of Computing Research team is an Applied Research team within the Consumer Devices group focused on developing new methods and models as we advance forward in our mission of building AGI that be…
Skills: Full-stack development, Backend services, API design, Data modeling, Generative AI
San Francisco, California, United States · On-site
$180k–$210k/yr
About Neon Neon is a global payments and e-commerce platform designed to help game publishers earn more money and independence from app stores. We believe commerce should be open and transparent: clear decisions, actiona…
Skills: Product Positioning, Messaging, Sales Enablement, Competitive Intelligence, Go-to-Market Execution
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
As an Agent Product Manager at Emanate, you’ll shape the AI agents that help companies that are building the backbone of the physical economy to move faster from inbound requests to revenue. You’ll work across customers,…
Skills: Product Management, AI Agent Design, Workflow Definition, Requirement Gathering, Cross-functional Collaboration
San Francisco, California, United States · On-site
As a Founding Product Infrastructure Engineer at Emanate, you’ll build the core systems that power our AI revenue engine for companies that are building the backbone of the physical economy. You’ll design scalable backen…
Skills: Backend Infrastructure, System Design, Data Integration, Scalability, Product Engineering
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
$180k–$250k/yr
C1.ai is building a horizontal identity platform Identity is becoming the control plane for modern companies. Every organization runs on dozens—sometimes hundreds—of systems that need to answer the same basic question: w…
Skills: Full Stack Development, System Design, API Development, Data Modeling, Distributed Systems
San Francisco, California, United States · On-site
$256k–$320k/yr
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from elect…
Skills: Software Architecture, Cloud Computing, Technical Leadership, Mentoring, Code Review
San Francisco, California, United States · On-site
$200k–$255k/yr
Why Casca? Casca is building AGI for banking. We’re replacing decades-old legacy systems with AI-native technology that automates 90% of the manual work humans once had to do. What you'll do: Build security tooling & pro…
Skills: Application Security, Identity And Access Management, Threat Detection, Secure SDLC, Threat Modeling
San Francisco, California, United States · On-site
As a Founding Account Executive at Emanate, you’ll help bring our AI revenue engine to companies that are building the backbone of the physical economy that keep the world moving. You’ll own early customer conversations,…
Skills: Sales Pipeline Building, Customer Acquisition, Strategic Selling, Market Insight Analysis, Account Management
San Francisco, California, United States · On-site
As a Deployment Strategist at Emanate, you’ll work with companies that are building the backbone of the physical economycompanies to turn Emanate’s AI revenue engine into real operational impact. You’ll partner with cust…
Skills: Workflow Mapping, Implementation Guidance, Customer Discovery, Product Improvement, AI Adoption
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 · On-site
About us At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New Y…
Skills: Motion Design, Brand Design, Visual Storytelling, Animation, Graphic Design
San Francisco, California, United States · Remote OK
$200k–$400k/yr
Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of…
Skills: ROCm, HIP, Triton, CK, AITER
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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
Based on 3591 listings with disclosed salaries, most software jobs in San Francisco, CA pay between $140k–$290k per year. Individual offers vary with seniority, company size, and specialization.
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