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 for Amazon Prime. This role involves leveraging machine learning, artificial intelligence, and data mining at terabyte scale to drive impact for millions of customers. Key focus areas include understanding customer identity, long-term value of Prime membership, and creating personalized frameworks for content and subscription optimization.

You will tackle scientific and technical challenges such as optimizing GenAI/LLM solutions for personalization, building foundation models, global scalability, combinatorial optimization, cold start problems, accelerated experimentation, and multi-step optimization leading to 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 the central science team within Prime, you will contribute to a variety of topics, engage in scientific research, and build a strong publication and patent record. 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 using state-of-the-art techniques.
• 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.
• 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.

Pay

Base salary range: $142,800 - $193,200 USD annually (Seattle, WA). Your compensation package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, basic life & AD&D, with options for 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.

Learn more about our benefits at amazon.jobs/en/benefits.