Sr. Machine Learning Engineer, Prime Video Personalization and Discovery

Amazon; Seattle (WA); On-site; USD 180,000 - 280,000; Full time

Job summary

Amazon's Prime Video Personalization and Discovery team is seeking a Senior Machine Learning Engineer to lead personalization and discovery customer experiences. You will guide technical strategy, architecture, and implementation of PV groupings, re-engagements, and optimizations, establishing operational excellence across the org.

You will mentor engineers, collaborate with applied scientists, product management, and other software teams to deliver scalable AI-powered recommendations and

Qualifications

• Experience designing and leading AI-powered content discovery initiatives.
• Proven ability to design, develop, and maintain AI-based recommendation systems.
• Strong cross-functional collaboration and leadership skills.

Responsibilities

• Design, develop and maintain AI-based recommendation systems that power personalized experiences across Prime Video.
• Build distributed systems to handle high-volume, low-latency AI-powered customer experiences.
• Develop tooling to improve efficiency, visibility, and reliability of recommendation systems.
• Collaborate cross-functionally with applied scientists, product management, and other software development teams to enhance discovery experiences.
• Mentor engineers and train teammates on software design, testing, operation and context.

Skills

Machine Learning

Recommendation systems

Distributed systems

Leadership

Job description

Prime Video Personalization and Discovery (PVPD) is seeking a Senior Machine Learning Engineer to lead Personalization and Discovery customer experiences. This role will work across team boundaries within PVPD and with external partners to drive the success of AI-powered content discovery initiatives. You'll be responsible for leading the technical strategy, architecture, and implementation of PV groupings, re-engagement and optimizations. You'll also establish operational excellence practices across the organization.

Key job 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 customers 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 experience
• Confidently train new team-mates 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

A day in the life

Your day begins with team standup meetings, where you help prioritize work streams and unblock critical issues. Some days will involve hands-on development, writing and reviewing code, and other will consist of technical leadership responsibilities, authoring design documents or weighing in on your teammates approaches.

Throughout the day, you'll mentor junior engineers, providing technical guidance and collaborating with product managers to translate business requirements into technical solutions. You'll drive discussions with cross-functional teams to ensure alignment on architectural decisions.

You’ll be responsible for maintaining and improving our personalization infrastructure's reliability and performance, troubleshooting complex production issues and implementing monitoring and alerting systems.

About the team

We are a team that is passionate about using Machine Learning and experiments to help surfacing the right content to the right customer at the right time. We love experimentation and learning how we can improve the quality of our recommendations.

You’ll join a diverse group of engineers at different career stages, combining fresh perspectives with deep technical expertise. Our mission is to create intuitive, fast, and personalized experiences that delight our global customer base. We blend technical excellence with strong product thinking, and our culture emphasizes learning and growth, with senior members actively mentoring newer engineers.