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.
Research Engineer / Research Scientist, Post-Training at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. 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
Day-to-day expectations
A clear list of the work this role is designed to cover.
- 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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- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to research engineer / research scientist, post-training is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
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- $295K - $555K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
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