Research Engineer / Research Scientist, Post-Training
About the Team The Post-Training team is responsible for training and improving pre-trained models to be deployed into ChatGPT, the API, and potential future products. The team partners closely with research and product teams across the company, and conducts research as a final step to prepare for real world deployment
What this role actually needs.
About the Team The Post-Training team is responsible for training and improving pre-trained models to be deployed into ChatGPT, the API, and potential future products. The team partners closely with research and product teams across the company, and conducts research as a final step to prepare for real world deployment Responsibilities: - Own and pursue a research agenda to improve model capability and performance. - Collaborate closely with the other research and product teams, allowing customers to optimize their own models. - Build robust evaluations for tracking modeling improvements. - Design, implement, test, and debug code across our research stack. - Have a deep understanding of machine learning and machine learning applications. - Have a working knowledge of relevant models, and building evaluations for model capability improvement. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Research Engineer / Research Scientist, Post-Training role.
- Own and pursue a research agenda to improve model capability and performance.
- Collaborate closely with the other research and product teams, allowing customers to optimize their own models.
- Build robust evaluations for tracking modeling improvements.
- Design, implement, test, and debug code across our research stack.
- Have a deep understanding of machine learning and machine learning applications.
- Have a working knowledge of relevant models, and building evaluations for model capability improvement.
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Research Engineer / Research Scientist, Post-Training is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
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Source: jobs.ashbyhq.com Β· Source ID: 1c516e9f-c97d-4a40-8529-9871dac615a5 Β· Confidence: 97/100 Β· Last checked: May 7, 2026
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