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Sr. Machine Learning Engineer, Prime Video Personalization and Discovery

Amazon · Seattle, WA · Posted 16 days ago

$168k–$227kic
5+ yrs expMachine LearningRecommendation SystemsDistributed SystemsSoftware EngineeringSoftware ArchitectureCode ReviewAutomated TestingMonitoring

Lead the technical strategy and architecture for Prime Video's PV groupings and re-engagement recommendation systems, serving a global customer base at high volume and low latency.

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.

…

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There are 17,473 open roles at Amazon right now. This role is one of 14 Machine Learning Engineer openings in Seattle, WA and centers on Software Development, Programming, Software Architecture, and Software Development Life Cycle.

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