OpenAI

4 weeks ago

Agent Post-Training, Connectors 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

Join OpenAI’s Agent Post-Training, Connectors team to teach models how to interface with top professional software using code. Train agents to use code, APIs, tools, and structured integrations across apps like Slack, Google Workspace, GitHub, Notion, Linear, and Salesforce. Collaborate with researchers, engineers, product, and safety teams to drive practical model improvements and product-ready capabilities.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Education & Training

Key Responsibilities

•Design and run experiments to improve agentic model behavior for complex software and plugins, and analyze results to inform training directions.
•Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, evals, and model-behavior analysis.
•Build evaluations and environments to expose model failures, then turn insights into training data, product fixes, or new research directions.
•Collaborate with Codex and ChatGPT product teams to translate user needs into model improvements and product signals.
•Contribute to early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream behavior.

Pay and Benefits

Salary: USD 295,000 - 445,000 annually

Key Requirements

•Strong technical fundamentals in machine learning, software engineering, systems, statistics, or 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.
•Ability to design, run, and interpret experiments that improve agentic model behavior for complex software and plugins.
•Experience integrating models with professional software ecosystems via APIs and structured integrations.
•Strong cross-functional collaboration and ability to translate product signals into model improvements.

Experience:AIMachine learningSoftware engineering

Skills:CommunicationCollaborationProblem-solvingLearn quicklyTeamwork

Tech Stack:PythonAPIsLLMsRLReinforcement learningSlackGoogle WorkspaceGitHubNotionLinearSalesforceData pipelines

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, Connectors 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

•Design and run experiments to improve agentic model behavior for complex software and plugins, and analyze results to inform training directions.
•Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, evals, and model-behavior analysis.
•Build evaluations and environments to expose model failures, then turn insights into training data, product fixes, or new research directions.
•Collaborate with Codex and ChatGPT product teams to translate user needs into model improvements and product signals.
•Contribute to early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream behavior.

Pay and Benefits

Salary: USD 295,000 - 445,000 annually

Key Requirements

•Strong technical fundamentals in machine learning, software engineering, systems, statistics, or 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.
•Ability to design, run, and interpret experiments that improve agentic model behavior for complex software and plugins.
•Experience integrating models with professional software ecosystems via APIs and structured integrations.
•Strong cross-functional collaboration and ability to translate product signals into model improvements.

Experience:AIMachine learningSoftware engineering

Skills:CommunicationCollaborationProblem-solvingLearn quicklyTeamwork

Tech Stack:PythonAPIsLLMsRLReinforcement learningSlackGoogle WorkspaceGitHubNotionLinearSalesforceData pipelines

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