Applied Scientist, Amazon Precision Match
Tasks
- Address cold start problem
- Build feature engineering pipelines
- Design A/B experiments
- Design matching algorithms
- Develop real time low latency scoring
- Implement model retraining infrastructure
- Optimize set based routing framework
- Partner on experiment design and results interpretation
- Run offline simulations
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Algorithms | B testing | C++ | Data Mining | Data Structures | Distributed Computing | Feature Engineering | High Performance | High-Performance Computing | Java | Machine Learning | Numerical Optimization | Parallel Computing | Parsing | Performance Computing | Python | Real Time | Real-time Inference | Recommendation Systems | Statistical experimentation | Unix/Linux
Education
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