Sr. Applied Scientist, Prime AI/ML Science
Core
Develop AI/ML models and infrastructure at TB scale to model customer behavior, optimize the Amazon Prime membership experience, and build GenAI/LLM foundation models for personalization.
Role type
Senior Applied Scientist (Prime AI/ML Science)
Builds
GenAI/LLM foundation models, personalized optimization solutions, and scalable ML infrastructure for Amazon Prime
Domain
E-commerce, Customer Analytics, Generative AI
Deliverable
production ML models
Required skills
Machine learning model development, Deep learning, GenAI/LLMs, Transformer architectures, Reinforcement learning, Causal Econometric modeling, Statistical modeling, Large-scale data analysis, Problem formulation
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Distributed systems
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
Senior, hands-on IC