Applied Scientist II, Prime AI/ML Science

About the role

Join our team of Scientists developing models to understand and optimize customer behavior and experience with Amazon Prime. This role involves modeling customer behavior, assessing the long-term value of the Prime membership program, and creating personalized frameworks for content and subscription optimization. You will tackle challenges such as optimizing GenAI/LLM solutions for Prime personalization, building foundation models, global scalability, combinatorial optimization, cold start problems, and reinforcement learning of the customer journey.

Techniques employed include GenAI/LLMs, supervised/semi-supervised learning, deep learning, transformer architectures, causal econometric modeling, and reinforcement learning. As part of the central science team within Prime, you will contribute to a variety of topics, scientific research, publications, and patents. You will work with cutting-edge ML technologies and infrastructure, including AWS (EMR/Spark, Sagemaker, DynamoDB, S3, ClaudeCode), AI/ML algorithms, and statistical modeling techniques.

Responsibilities

• Stay abreast of current literature and advance/build novel science solutions leveraging state-of-the-art (SoTA) approaches.
• Build and develop AI/ML models and supporting infrastructure at terabyte 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 them with measurement systems and econometric models.
• Establish scalable, efficient, and automated processes for large-scale data analyses, science development, validation, and model implementation.
• Analyze and extract relevant information from large amounts of Amazon’s historical business data to automate and optimize key processes.
• Work closely with business teams to understand problem spaces, identify opportunities, and formulate problems.
• Use AI, machine learning, data mining, and statistical techniques to create actionable, meaningful, and scalable solutions for business problems.
• Design, develop, and evaluate highly innovative models and statistical approaches to understand and predict customer behavior.

Requirements

• 3+ years of experience building models for business applications.
• PhD or Master’s degree in Computer Science, Computer Engineering, Machine Learning, or a related field (or equivalent experience).
• Experience programming in Java, C++, Python, or a related language.
• Experience in one or more of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.

Preferred Qualifications

• Experience using Unix/Linux.
• Experience in professional software development.

Benefits

Amazon offers comprehensive benefits, including:

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D, and optional supplemental life plans).
• Employee Assistance Program (EAP) and mental health support.
• Medical Advice Line and Flexible Spending Accounts.
• Adoption and surrogacy reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.

Pay

Base salary range for this position: $142,800.00 - $193,200.00 USD annually (USA, WA, Seattle). Your total compensation package will include sign-on payments and restricted stock units (RSUs), with final compensation determined by experience, qualifications, and location.