Sr. Mgr., ML Infrastructure, Pv Personalization and Discovery

Amazon Amazon · Big Tech · Seattle, WA · Software Development

Senior Manager role leading multiple engineering teams to define and execute the vision and strategy for an ML infrastructure stack that fuels personalized discovery at global scale for Prime Video. The role involves architecting infrastructure to improve agility, usability, and extensibility of ML solutions, streamlining the model development lifecycle, and establishing MLOps practices. It requires deep expertise in machine learning infrastructure, distributed systems, and partnering with applied science teams to ensure scalable, reliable, and responsible AI-driven solutions.

What you'd actually do

  1. Lead multiple engineering teams to define the vision, strategy, and execution plan for ML infrastructure stack and deliver highly extensible systems that fuel personalized discovery at global scale.
  2. Bring clarity to ambiguity, architecting infrastructure that dramatically improves the agility, usability, and extensibility of our ML solutions.
  3. Partnering with scientists and product managers to streamline the model development lifecycle from research to production, building ML infrastructure and establishing MLOps practices that enables rapid experimentation and deployment of AI/ML models.
  4. Collaborate with cross-functional teams, including product managers, data scientists and applied scientists.
  5. Ensure these AI-driven solutions are scalable, reliable, and responsible, while continuously innovating to deliver delightful customer experiences.

Skills

Required

  • 10+ years of engineering experience
  • 5+ years of engineering team management experience
  • 10+ years of planning, designing, developing and delivering consumer software experience
  • Experience managing multiple concurrent programs, projects and development teams in an Agile environment
  • Experience partnering with product or program management teams
  • Hands-on experience with machine learning infrastructure, retrieval/recommendation systems, large-language model and/or generative AI, as well as partnering with applied science teams

Nice to have

  • Experience designing and developing large scale, high-traffic applications
  • Bachelor's degree in computer science, computer engineering, or related technical field
  • Experience with AWS products and services

What the JD emphasized

  • ML infrastructure
  • retrieval/recommendation systems
  • large-language model and/or generative AI

Other signals

  • ML infrastructure
  • MLOps
  • personalization
  • recommendation systems
  • generative AI