Research Engineer, AI for Science
About the Team OpenAI for Science is building the next great scientific instrument: an AI-powered platform that accelerates scientific discovery. We aim to prove that OpenAI’s frontier models can do real science—and help researchers everywhere do more, faster.
What this role actually needs.
Research Engineer, AI for Science 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 OpenAI for Science is building the next great scientific instrument: an AI-powered platform that accelerates scientific discovery. We aim to prove that OpenAI’s frontier models can do real science—and help researchers everywhere do more, faster.
Day-to-day expectations
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- Design, implement, and improve large-scale distributed machine learning systems
- Write robust, high-quality machine learning code and contribute to performance-critical components
- Collaborate closely with researchers to translate ideas into scalable, production-ready systems
- Have strong programming skills and enjoy building reliable, high-performance systems
- Are comfortable working in large distributed systems and at significant computational scale
- Are excited about OpenAI’s research direction and motivated by the real-world impact of AI
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- Tailor your resume around ai and machine-learning instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to research engineer, ai for science is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
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