Published Date
3 weeks ago
Work Arrangement
Hybrid • Culver City, CA
Open Positions
2 openings
Experience Level
Mid-Level
About the opportunity
Build deep recommendation and ranking models powering Prime Video homepage and search discovery.
What you will do
- check_circle Train two-tower candidate generation models and transformer-based sequential recommenders.
- check_circle Implement real-time feature transformations with low latency using AWS ElastiCache and SageMaker.
- check_circle Evaluate recommendation diversity, novelty, and retention impact via rigorous online experimentation.
- check_circle Continuously iterate on loss functions balancing long-term engagement with cold-start title discovery.
What we are looking for
- arrow_circle_right 3+ years experience building recommendation or information retrieval ML models.
- arrow_circle_right Proficiency with Python, PyTorch or TensorFlow, SQL, and AWS services.
- arrow_circle_right Deep grasp of collaborative filtering, metric learning, and offline evaluation protocols.
Skills & Tech Stack
Why candidate applications stand out
Verified Technical Credentials
Applications include direct proof-of-work repositories and instructor verification endorsements.
Fast-Track Hiring Visibility
Direct internal referral channels through enterprise partners bypass automated resume discard filters.