OpenAI

4 weeks ago

Agent Post-Training, Frontier Evals and Environments Research

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Researcher role focusing on building north-star model environments and evaluation methodologies to advance safe AGI/ASI. You will guide frontier training runs, design scalable evaluation systems, and contribute to the data, environments, and feedback loops shaping OpenAI’s next-generation agents.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Education & Training

Key Responsibilities

•Create ambitious RL environments to push our models to their limits, and measure frontier model capabilities, skills, and behaviors.
•Develop new methodologies for automatically exploring the behavior of these models.
•Dive deep into the science of measurement, including understanding scalability, reliability, and variance of our evaluation methodology.
•Help steer training for our largest training runs, and see the future first.
•Design scalable systems and processes to support continuous evaluation

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 the ability to learn quickly across unfamiliar areas.

Experience:MLRLLLMsAIResearch

Skills:CommunicationProblem-solvingCollaborationAnalytical thinking

Tech Stack:PythonMachine learningReinforcement learningRLHFRLAIFPost-trainingEvalsGradersSynthetic dataModel trainingCoding agentsTool-using agentsProduction ML systemsLLMsCodexChatGPTAPI

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

4 weeks ago

Agent Post-Training, Frontier Evals and Environments Research

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Education & Training

Key Responsibilities

•Create ambitious RL environments to push our models to their limits, and measure frontier model capabilities, skills, and behaviors.
•Develop new methodologies for automatically exploring the behavior of these models.
•Dive deep into the science of measurement, including understanding scalability, reliability, and variance of our evaluation methodology.
•Help steer training for our largest training runs, and see the future first.
•Design scalable systems and processes to support continuous evaluation

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 the ability to learn quickly across unfamiliar areas.

Experience:MLRLLLMsAIResearch

Skills:CommunicationProblem-solvingCollaborationAnalytical thinking

Tech Stack:PythonMachine learningReinforcement learningRLHFRLAIFPost-trainingEvalsGradersSynthetic dataModel trainingCoding agentsTool-using agentsProduction ML systemsLLMsCodexChatGPTAPI

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