Agent Post-Training, Context Research

OpenAI
San Francisco
Full timeUSD 295,000 - 445,000 annuallyFunction: Education & TrainingSkills: ["Problem-solving","Communication","Collaboration","Critical thinking"]

Context Researcher on the Agent Post-Training team shaping frontier AI agents by scaling compute for context, developing the next paradigm of model training, and driving end-to-end post-training improvements. You’ll work with researchers, engineers, product and infrastructure teams, and safety partners to decide what goes into major model runs, measure results, and ship improvements to production products.

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FursaFursa
OpenAI
OpenAI
2 months ago

Agent Post-Training, Context Research

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Context Researcher on the Agent Post-Training team shaping frontier AI agents by scaling compute for context, developing the next paradigm of model training, and driving end-to-end post-training improvements. You’ll work with researchers, engineers, product and infrastructure teams, and safety partners to decide what goes into major model runs, measure results, and ship improvements to production products.
Location: San Francisco
Employment Type: Full time
Job Function: Education & Training

Key Responsibilities

  • •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.

Pay and Benefits

Salary: USD 295,000 - 445,000 annually

Key Requirements

  • •Strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and ability to learn quickly across unfamiliar areas.
Experience:AIMLFrontier models
Skills:Problem-solvingCommunicationCollaborationCritical thinking
Tech Stack:LLMsRLData pipelinesEvaluationsGradersProduction ML systemsPython

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor