Applied Scientist , Personalization & Ranking
Core
Research, design, and development of new AI technologies for Personalization and Recommendation systems to optimize the shopping experience for millions of customers.
Role type
Senior Applied Scientist (Personalization & Ranking)
Builds
AI solutions for Recommendation systems, new features, products, and systems for the retail website
Domain
E-commerce, Machine Learning, Large Language Models
Deliverable
production ML models | product features
Required skills
Deep learning, LLMs, Reinforcement Learning, distillation, Optimization methods, algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred skills
Unix/Linux, professional software development
Technologies
Java, C++, Python
Responsibilities
Build state-of-the-art models to optimize the shopping experience, develop AI solutions for Recommendation systems, design and implement AI solutions end-to-end with engineers and product managers, design and conduct offline and online (A/B) experiments, stay up-to-date with advancements in modeling techniques
Seniority
Senior, hands-on IC