Applied Scientist, Personalization, Personalization
Core
Building Amazon's customer memory layer to extract, curate, and reason over customer knowledge for next-generation personalization systems.
Role type
Applied Scientist (Personalization)
Builds
Customer memory systems, fact extraction pipelines, and grounded personalization solutions.
Domain
E-commerce, Machine Learning, Generative AI, Knowledge Representation
Deliverable
production ML models
Required skills
Python, C/C++, Java, Perl, PhD or Master's in CS/CE/ML, research publications, deep learning, machine learning, information extraction, temporal reasoning
Preferred skills
big data technologies, cloud technologies, information retrieval, recommender systems, natural language processing, personalization algorithms
Technologies
Spark, AWS
Responsibilities
Design and build ML and LLM-powered solutions, own end-to-end delivery from modeling to production deployment, drive work on fact extraction and memory lifecycle, collaborate with engineering and product teams
Seniority
Senior, hands-on IC