Machine Learning Engineer: Evaluation
Tasks
- Analyze ML and robotics system performance in production
- Bridge product goals to measurable indicators
- Build performance measurement pipelines
- Classify data sources for training and testing
- Create self annotated datasets
- Design and maintain evaluation systems
- Develop system metrics
- Execute statistical tests for performance deltas
- Implement data infrastructure and classifiers
- Interpret performance results from sensor data and leading indicators
- Model system performance metrics
Perks/Benefits
- N/A
Skills/Tech-stack
Classification | Cloud Computing | Data Warehouse | Hypothesis Testing | Machine Learning | Parallel Computing | Python | SQL | Uncertainty | Uncertainty Quantification
Education
N/A
Regions
Countries
States
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