Applied Scientist II, WW Prime - AI/ML Science

About the role

Interested in modeling and understanding customer behavior through machine learning, artificial intelligence, and data mining over TB scale data with huge business impact on millions of customers? Join our team of Scientists developing models to model customer behavior and optimize the customer experience with Amazon Prime. This includes understanding who our customers are, long-term value of the Prime membership program, and creating the right personalized framework for content and subscription optimization. As an AI/ML expert, you will partner directly with product owners to intake, build, and directly apply your modeling solutions.

Responsibilities

• Stay abreast of current literature in the field and advance/build novel science solutions leveraging SoTA solutions.
• 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 solution.
• 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.
• Work closely with the business to understand their problem space, identify the opportunities and formulate the problems.
• Use AI/machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for the business problems.
• Design, develop and evaluate highly innovative models and statistical approaches to understand and predict customer behavior and to solve business problems.

Basic Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience using Unix/Linux
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

Benefits

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• Paid time off
• Parental leave

Pay

Base salary range: $142,800 – $193,200 USD annually (Seattle, WA). Total compensation includes sign-on payments and restricted stock units (RSUs).