Research Engineer / Research Scientist, Post-Training

AI research and deployment company dedicated to ensuring general-purpose artificial intelligence benefits all of humanity
$360,000
Machine Learning
Senior Software Engineer
Hybrid
1,000 - 5,000 Employees
5+ years of experience
AI

Description For Research Engineer / Research Scientist, Post-Training

OpenAI is seeking a Research Engineer/Scientist for their Post-Training team, a crucial role responsible for training and improving pre-trained models for ChatGPT, API, and future products. The position offers a unique opportunity to work at the intersection of cutting-edge AI research and product development, focusing on reinforcement learning and model improvements. Based in San Francisco with a hybrid work model, the role demands strong ML engineering skills and research experience with highly capable models.

The Post-Training team works closely with research and product teams across OpenAI, ensuring models are safe, efficient, and reliable before deployment to millions of users. The ideal candidate will drive research initiatives to enhance model capabilities, collaborate on optimization efforts, and build robust evaluation systems. This position requires deep ML expertise, strong debugging skills, and the ability to thrive in a dynamic environment.

OpenAI offers comprehensive benefits including competitive salary with equity, complete healthcare coverage, mental health support, generous parental leave, and investment in professional development. The company's mission focuses on developing beneficial AI for humanity, emphasizing safety and human needs at its core. Join a team that's shaping the future of AI technology while maintaining a strong commitment to diversity, equality, and inclusive development practices.

Last updated a day ago

Responsibilities For Research Engineer / Research Scientist, Post-Training

  • Own and pursue a research agenda to improve model capability and performance
  • Collaborate closely with the other research and product teams
  • Build robust evaluations for tracking modeling improvements
  • Design, implement, test, and debug code across our research stack

Requirements For Research Engineer / Research Scientist, Post-Training

  • Deep understanding of machine learning and machine learning applications
  • Working knowledge of relevant models, and building evaluations for model capability improvement
  • Comfortable diving into a large ML codebase to debug
  • Thrive in a dynamic and technically complex environment

Benefits For Research Engineer / Research Scientist, Post-Training

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
401k
Parental Leave
Education Budget
Relocation Benefits
Equity
  • Medical, dental, and vision insurance for you and your family
  • Mental health and wellness support
  • 401(k) plan with 50% matching
  • Unlimited time off and 13 company holidays per year
  • Paid parental leave (24 weeks paid birth-parent leave & 20-week paid parental leave)
  • Annual learning & development stipend ($1,500 per year)
  • Relocation assistance
  • Equity

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