Sr. Machine Learning Engineer, Prime Video Personalization and Discovery

About This Role

This senior machine learning engineer role leads personalization and discovery customer experiences for Prime Video. It involves working across team boundaries within PVPD and with external partners to drive AI-powered content discovery initiatives. The position is responsible for leading the technical strategy, architecture, and implementation of PV groupings, re-engagement, and optimizations, as well as establishing operational excellence practices across the organization.

Responsibilities

• Design, develop and maintain AI-based recommendation systems services that drive personalized experiences across Prime Video
• Build distributed systems to manage high-volume, low-latency AI-powered customer experiences
• Develop tooling and automation to improve the efficiency, visibility, and reliability of recommendation systems
• Collaborate cross-functionally with applied scientists, product management, and other software development teams to continuously enhance the Prime Video discovery and personalization experiences
• Confidently train new teammates about your customers, what your team’s software does, how it is constructed, tested, operates, and how it fits into the bigger picture
• Focus on operational excellence, constructively identifying problems and proposing solutions, taking on projects that improve your team’s software, making it better and easier to maintain
• Champion best practices around software engineering, including designing, testing, monitoring

Requirements

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team

Nice to have:

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• 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

About the Company

Amazon Development Center U.S., Inc. is passionate about using Machine Learning and experiments to help surface the right content to the right customer at the right time. They focus on experimentation and learning how to improve the quality of recommendations. The team is a diverse group of engineers at different career stages, combining fresh perspectives with deep technical expertise. Their mission is to create intuitive, fast, and personalized experiences that delight their global customer base, blending technical excellence with strong product thinking, and emphasizing learning and growth with senior members actively mentoring newer engineers.