OpenAI

3 months ago

Researcher, Agentic Post-Training

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Researcher contributing to post-training of OpenAI's agentic models, owning end-to-end research and engineering projects, developing horizontal model improvements (fact-checking, instruction following, tool usage, multi-agent behavior), and building scalable data and evaluation infrastructure to ship improvements across Codex, API, ChatGPT thinking, and ChatGPT Pro.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Own end-to-end research and engineering projects that improve the final post-training of OpenAI’s agentic models.
•Decide, together with partner teams, which integrations are ready for inclusion in major model runs.
•Develop horizontal model improvements across factuality, instruction following, tool/function calling, multi-agent behavior, reasoning-effort calibration, and other broad capabilities.
•Build and improve training, evaluation, grading, and data infrastructure for large-scale RL/post-training runs.
•Create evals and diagnostics that help us understand whether a model is ready to ship.

Pay and Benefits

Salary: USD 295,000 - 445,000 annually

Key Requirements

•Strong ML fundamentals with hands-on experience with LLMs, RL, RLHF, post-training, evals, or model training.
•An unusually strong engineer who can move quickly in complex systems and make pragmatic technical decisions.
•Ability to own ambiguous problems end-to-end without needing a tightly specified roadmap.
•Care more about impact than method, and are happy to do unglamorous but load-bearing work when it matters.
•Comfortable working across research, infrastructure, data, evals, and product boundaries.

Experience:Artificial intelligenceMachine learning

Skills:CommunicationProblem-solvingCollaboration

Tech Stack:LLMsRLRLHFPost-trainingEvaluationData infrastructureGradingTool calling

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: 4.4

Website LinkedIn Glassdoor

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OpenAI

3 months ago

Researcher, Agentic Post-Training

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Own end-to-end research and engineering projects that improve the final post-training of OpenAI’s agentic models.
•Decide, together with partner teams, which integrations are ready for inclusion in major model runs.
•Develop horizontal model improvements across factuality, instruction following, tool/function calling, multi-agent behavior, reasoning-effort calibration, and other broad capabilities.
•Build and improve training, evaluation, grading, and data infrastructure for large-scale RL/post-training runs.
•Create evals and diagnostics that help us understand whether a model is ready to ship.

Pay and Benefits

Salary: USD 295,000 - 445,000 annually

Key Requirements

•Strong ML fundamentals with hands-on experience with LLMs, RL, RLHF, post-training, evals, or model training.
•An unusually strong engineer who can move quickly in complex systems and make pragmatic technical decisions.
•Ability to own ambiguous problems end-to-end without needing a tightly specified roadmap.
•Care more about impact than method, and are happy to do unglamorous but load-bearing work when it matters.
•Comfortable working across research, infrastructure, data, evals, and product boundaries.

Experience:Artificial intelligenceMachine learning

Skills:CommunicationProblem-solvingCollaboration

Tech Stack:LLMsRLRLHFPost-trainingEvaluationData infrastructureGradingTool calling

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: 4.4

Website LinkedIn Glassdoor