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Agent Post-Training Research

OpenAI· Research
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San Francisco$380k - $500kFull-timePosted 6mo ago

About the role

OpenAI is seeking a candidate for the Agent Post-Training Research role to improve capabilities, reliability, and product fit of agentic models. The role is broad, spanning research, engineering, data, evals, and product to ship improvements into frontier models and products used by real users. Location can be San Francisco or London, with high autonomy and cross-functional collaboration.

Responsibilities

  • - Design and run experiments that improve agentic model behavior across coding, tool use, function calling, computer use, multi-agent collaboration, long-horizon tasks, factuality, instruction following, and calibrated reasoning.
  • - 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, API/platform, 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.

Qualifications

  • - Strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and ability to learn quickly across unfamiliar areas.
  • - 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.
  • - Enthusiasm for open-ended problems where path is unclear and requiring both research taste and engineering execution.
  • - Interest in product impact and model behavior beyond benchmark movement, with opinions on usefulness, reliability, honesty, and usability of agents.
  • - Ability to define hypotheses, build pipelines, run models, analyze results, and decide next steps.
  • - Comfort working across research, product, infrastructure, data, evals, and safety, with clear communication.
  • - Enjoy building load-bearing systems and processes when needed, even if not glamorous.
  • - Desire to train and ship models that benefit developers, enterprises, researchers, and everyday users.

Skills

Required:Machine Learning / AI fundamentalsLLMs / RL / RLHF / RLAIFPost-training & evaluation pipelinesExperiment design & analysis

Benefits

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax Health FSA, Dependent Care FSA, and commuter accounts
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents, 20 weeks for non-birth parents) plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt and up to 15 days annually for non-exempt
  • 13+ paid company holidays and other office closures
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend
  • Daily meals in offices and meal delivery credits
  • Relocation support for eligible employees
  • Additional fringe benefits such as charitable donation matching and wellness stipends
Last updated Sep 3, 2026. Interested? Apply on the company site.

About OpenAI

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