Applied Scientist 3
Tasks
- Build distillation data pipelines
- Conduct experiments to improve quality and efficiency
- Convert research ideas into training pipelines
- Develop distillation pipelines
- Evaluate models with automated metrics
- Evaluate models with human preference signals
- Implement post training upgrades into production systems
- Optimize models for deployment efficiency
- Run post training methods
Perks/Benefits
- N/A
Skills/Tech-stack
Fine Tuning | Inference Optimization | Machine Learning | Model Compression | Model Distillation | Preference optimization | Python | Reinforcement Learning | Supervised Fine Tuning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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