Research Engineer / Research Scientist, Post-Training
Research and develop improvements to pre-trained models for deployment in ChatGPT and API using reinforcement learning and product-driven approaches. Requires strong ML engineering, research experience with novel models, and ability to debug large codebases.
About the job
In this role, you will:
- 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.
You might thrive in this role if you:
- 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.
- Are comfortable diving into a large ML codebase to debug.
- Thrive in a dynamic and technically complex environment.
Skills
Machine Learning, Reinforcement Learning, PyTorch, TensorFlow, Model Evaluation, Ml Engineering, Research, Python, Deep Learning, LLMs
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