Applied Scientist II
Tasks
- Build evaluation harness guardrails and quality monitoring
- Choose machine learning optimization and heuristics approaches
- Define evaluation metrics for solution quality
- Define objective functions and tradeoffs
- Frame problems with real world constraints
- Improve models using real world outcomes
- Produce peer reviewable code and analyses
- Ship production algorithmic systems end to end
- Validate solutions before launch
Perks/Benefits
Skills/Tech-stack
AWS | Evaluation Frameworks | Heuristics | Huggingface | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Optimization | Pandas | PyTorch | Python | SQL | Snowflake | XGBoost
Education
N/A
Regions
Countries
States
Cities
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