Recommendation Systems Engineer
Family: Data & AI
Designs and operates systems that surface personalized content or products based on user behavior and preferences.
Day to day
Develops collaborative and content-based filtering models, runs A/B experiments on ranking algorithms, and monitors recommendation quality metrics.
Core skills
- collaborative filtering
- ranking algorithms
- A/B testing
- feature engineering
- large-scale data processing