Applied Scientist, EU INTech Consumer Selection Discovery, NintAI
Core
Designing and deploying AI/ML science solutions to enhance product discovery, search, and navigation experiences for Amazon's global customers.
Role type
Applied Scientist (Computer Vision, Generative AI, Ranking)
Builds
AI/ML models for search, discovery, and navigation at Amazon scale
Domain
E-commerce, Search, Recommendation Systems
Deliverable
production ML models
Required skills
Computer Vision, Generative AI, Ranking, Deep Learning, NLP, Java, C++, Python, Algorithm Design, Research (publications/patents), End-to-end ML lifecycle management
Preferred skills
Unix/Linux, Professional software development, Deep learning implementation for computer vision
Technologies
Java, C++, Python, Linux/Unix
Responsibilities
Translate complex business problems into science plans with clear milestones, Design and deliver ML/AI models from research to production, Work with state-of-the-art models in computer vision, ranking, and GenAI, Own major science challenges driving solutions from ideation to deployment, Collaborate with cross-functional teams globally, Influence scientific direction and best practices, Contribute to expanding the state of the art through publications
Seniority
Senior, hands-on IC