Applied Scientist, EU INTech Consumer Selection, Tamale
Madrid, Community of Madrid, ESP
EUR 60K-77K (estimate) Entry-level Full Time
Tasks
- Build ranking models
- Collaborate with scientists, engineers, product managers
- Design develop test and deploy distributed ranking services
- Develop real time feature serving systems
- Improve discovery engagement with contextual signals
- Optimize multi objective ranking
- Scale ranking systems across marketplaces
- Translate business requirements into ML deliverables
Perks/Benefits
- N/A
Skills/Tech-stack
Deep learning | Distributed Systems | Feature Engineering | Machine Learning | Multi-Objective Optimization | Objective optimization | Ranking Systems | Real Time | Real-time Feature Serving | Recommendation Systems
Education
Roles
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