Senior Applied Scientist, Amazon Shopping Personalization
Core
Research, design, and development of new AI technologies for Personalization, specifically optimizing the shopping experience for millions of customers using large-scale data.
Role type
Senior Applied Scientist (Machine Learning & Recommendation Systems)
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
Machine learning model building, Neural deep learning methods, Java/C++/Python programming, A/B experiment design, Data analysis, Research publication
Preferred skills
Large scale distributed systems, Modeling tools (Tensorflow, Spark, scikit-learn)
Technologies
Java, C++, Python, Deep learning, LLMs, Reinforcement Learning, Tensorflow, Spark, Hadoop
Responsibilities
Build state-of-the-art models to optimize shopping experience, Develop AI solutions using Deep learning and LLMs, Design and conduct offline and online experiments, Publish research findings in top conferences
Seniority
Senior, hands-on IC with research leadership