Staff Machine Learning Engineer (Eats Search & Discovery)
Tasks
- Build and train recommendation models
- Collaborate with global teams to co build recommendation system
- Create data pipelines for candidates and features
- Design recommendation/ranking systems
- Develop machine learning models and features
- Improve customer experience through ranking improvements
- Mine customer behavior data for insights
- Run online and offline experiments
Perks/Benefits
- N/A
Skills/Tech-stack
Data Pipelines | Deep learning | Experimentation | Feature Engineering | Integration Testing | Java | Machine Learning | Online Serving | Recommendation Systems | Unit Testing
Education
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