Applied Scientist II, Prime AI/ML Science
Core
Build and develop AI/ML models and supporting infrastructure at TB scale to model customer behavior, optimize the customer experience, and personalize content and subscriptions for Amazon Prime.
Role type
Applied Scientist II (Prime AI/ML Science)
Builds
GenAI/LLM foundation models, personalized optimization solutions, offline policy estimation tools, and scalable data analysis processes for Prime.
Domain
E-commerce, Customer Experience, Machine Learning, Generative AI
Deliverable
production ML models
Required skills
Deep Learning, GenAI/LLMs, transformers, supervised/unsupervised/semi-supervised/reinforcement learning, causal Econometric modeling, combinatorial optimization, numerical optimization, parallel and distributed computing, high-performance computing, data mining, algorithms and data structures
Preferred skills
Unix/Linux, professional software development
Technologies
AWS EMR, Spark, Sagemaker, DynamoDB, S3, ClaudeCode
Responsibilities
Build and develop AI/ML models and supporting infrastructure at TB scale in coordination with software engineering teams; Leverage Deep Learning and GenAI solutions for building foundation models and personalized optimization solutions; Develop offline policy estimation tools and integrate with measurement systems/econometric models; Establish scalable, efficient, automated processes for large scale data analyses, science development, science validation and model implementation; Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes; Design, develop and evaluate highly innovative models and statistical approaches to understand and predict customer behavior and to solve business problems.
Seniority
Mid-Senior, hands-on IC