Manager, Applied Science
Tasks
- Build production ML and optimization systems
- Define objective functions and constraints
- Define technical direction and approach
- Develop metrics to judge solution performance
- Evaluate and validate solutions
- Improve models using real world outcomes
- Lead applied scientists team
- Own roadmap and delivery
- Represent team work to senior leadership
- Translate business goals into problem set
Perks/Benefits
Skills/Tech-stack
AWS | Experimentation | Heuristics | Huggingface | LLM | Machine Learning | Model Evaluation | Optimization | Pandas | PyTorch | Python | SQL | Snowflake | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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