Found Description
In this role, you will collaborate with a small team of talented researchers on ambitious, greenfield projects in generative AI and reinforcement learning.
Core responsibilities:
- Design, execute, and analyze experiments with a high degree of independence
- Contribute to core models and frameworks
- Create high-quality datasets (both in-the-wild and synthetic)
- Perform literature reviews and implement new techniques from papers
- Contribute to publications, present at conferences and workshops, etc.
Research Areas of Interest:
An incomplete list of current and near-term research directions:
- Contrastive representation learning
- Steerability and guided decoding
- Tractable probability models
- Code-specific architectures
- LLM fine-tuning, post-training, RLHF
Qualifications:
- Ph.D. in Comput...