Machine Learning Research Scientist, Post-Training
San Francisco, CA; Seattle, WA; New York, NY
USD 180K-225K Mid-level Full Time
Tasks
- Analyze model behavior and identify weaknesses
- Experiment with preference optimization approaches
- Optimize data curation and evaluation pipelines
- Propose bias mitigation and model robustness solutions
- Publish research findings in AI conferences
- Research and develop post training techniques for large language models
Perks/Benefits
- Commuter stipend
- Health, dental and vision coverage
- Learning and development stipend
- Paid time off
- Retirement benefits
Skills/Tech-stack
Deep learning | Fine Tuning | Human Feedback | Instruction Tuning | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Model Evaluation | Preference optimization | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reward Modeling | Supervised Fine Tuning
Education
Regions
Countries
States
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