Machine Learning Scientist
Tasks
- Analyze edge cases
- Assess confounding
- Communicate findings to stakeholders
- Conduct error analysis
- Conduct root cause analysis
- Design experiments
- Detect data leakage
- Develop machine learning models
- Diagnose model failures
- Evaluate machine learning models
- Explore datasets
- Identify distribution shift
- Identify systematic bias
- Improve machine learning models
- Investigate classical machine learning
- Investigate deep learning
- Investigate production performance
- Perform feature engineering
- Perform model validation
- Plan data collection strategies
- Produce reproducible Python code
Perks/Benefits
- Dental insurance
- Flexible schedule
- Health insurance
- Unlimited paid time off
- Vision insurance
- Wellness benefits
Skills/Tech-stack
Cause analysis | Data Analysis | Data leakage | Deep learning | Distribution Shift | Error Analysis | Experimental Design | Feature Engineering | Machine Learning | Model Validation | Python | Root Cause Analysis | Root cause | Signal Processing | Statistical modeling | Uncertainty Quantification
Education
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