Research Engineer / Research Scientist - Personal AGI, Personalization

OpenAI
San Francisco
Workplace: HybridFull timeUSD 295,000 - 555,000 annuallyFunction: Data Science & Machine LearningSkills: ["Research craftsmanship","Fast iteration","Collaboration","Problem-solving","Technical debugging"]

Build and improve memory and personalization capabilities for frontier models used in ChatGPT and other agentic products. Work across reinforcement learning, dataset creation, evaluations, and post-training methods to make assistants more helpful over time. Own a research agenda, create robust evaluation pipelines, and design and debug code across the research stack while partnering closely with research and product teams to shape technical solutions.

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FursaFursa
OpenAI
OpenAI
2 days ago

Research Engineer / Research Scientist - Personal AGI, Personalization

āœ“ Verified Job

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

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

Job Summary

Build and improve memory and personalization capabilities for frontier models used in ChatGPT and other agentic products. Work across reinforcement learning, dataset creation, evaluations, and post-training methods to make assistants more helpful over time. Own a research agenda, create robust evaluation pipelines, and design and debug code across the research stack while partnering closely with research and product teams to shape technical solutions.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Own and pursue a research agenda to improve memory use and personalization in frontier models.
  • •Build robust evaluations to track modeling improvements.
  • •Design, implement, test, and debug code across the research stack.
  • •Collaborate closely with research and product teams to influence technical solutions in the product.

Pay and Benefits

Salary: USD 295,000 - 555,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Background in frontier model post-training and machine learning applications.
  • •Experience turning user signals and human data into reliable signals for training and evaluation.
  • •Ability to iterate quickly and work effectively in a fast-paced, technically complex environment.
  • •Comfort diving into a large ML codebase to debug.
  • •Value principled approaches and research craftsmanship.
Experience:Machine learningReinforcement learningPost-training
Skills:Research craftsmanshipFast iterationCollaborationProblem-solvingTechnical debugging
Tech Stack:Frontier modelsReinforcement learningMachine learningEvaluationsPost-training

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·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
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