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Research Engineer, Chatgpt Rlhf
Develop advanced reward models to enhance user alignment in ChatGPT interactions.
San Francisco, California, United States
Mid-Level
1 month ago
✨ About The Role
- The role involves advancing research on reinforcement learning and reward modeling to enhance ChatGPT's alignment with user preferences.
- Responsibilities include building robust offline evaluations and metrics to predict product impact.
- Collaboration with cross-functional teams is necessary to deploy models in production and iterate based on real-world feedback.
- The position combines cutting-edge research with engineering, requiring a dynamic and innovative approach.
- The work directly impacts millions of users globally and contributes to OpenAI's mission of safe AI distribution.
âš¡ Requirements
- The ideal candidate will have at least 2 years of experience in reinforcement learning, RLHF, or large-scale machine learning systems.
- A Ph.D. or equivalent research experience in machine learning, computer science, or a related field is preferred.
- Hands-on experience with RLHF, recommender systems, or feedback-driven model training is essential.
- A strong ability to drive impactful research and integrate advanced techniques into real-world systems is crucial.
- Passion for building user-focused AI systems and a commitment to improving user experience will be key to success in this role.
About OpenAI
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