Machine Learning Engineer, E-commerce Feed Recommendation
San Jose, California, United States
USD 175K-266K (estimate) Senior-level Full Time
Tasks
- Address cold start problem
- Build e commerce recommendation algorithms
- Build user interest models
- Design develop evaluate predictive models
- Design machine learning strategies to improve shopping experience
- Develop real-time data pipelines
- Optimize and iterate machine learning models
- Perform feature engineering
- Support debug analytics tools
Perks/Benefits
- N/A
Skills/Tech-stack
Algorithm Design | Click Through Rate | Click Through Rate Prediction | Cold Start | Conversion Rate | Conversion Rate Prediction | Data Analysis | Data Pipelines | Feature Engineering | Machine Learning | Model Optimization | Predictive Modeling | Ranking Models | Real Time | Real-time Data | Real-time data pipelines | Recommendation Systems
Education
N/A
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