Senior Applied Scientist
Tasks
- Build evaluation pipelines for quality efficiency and safety
- Conduct post training research and development
- Convert research ideas into production ready implementations
- Design and evaluate RLHF and preference optimization methods
- Develop distillation compression and inference acceleration methods
- Mentor peers and junior researchers
Perks/Benefits
- N/A
Skills/Tech-stack
Data Pipelines | Diffusion Models | Direct Preference Optimization | Fine Tuning | Generative AI | Human Feedback | Language Processing | Learning from Human Feedback | Machine Learning | Model Distillation | Natural Language | Natural Language Processing | Preference optimization | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reward Modeling | Supervised Fine Tuning | Transformers
Education
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