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

Job in New York, New York County, New York, 10261, USA
Listing for: Amazon.com Services LLC
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location: New York

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+.

All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.

As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!

The Person alization and Disovery team (PVPD) plays a vital role in connecting audiences with the compelling stories and content on Prime Video. Our mission is to foster long-lasting relationships between viewers and the service, ensuring they keep coming back for more. Our work combines the art of curation and personalization with sophisticated data science and machine learning algorithms. We shape the Prime Video experience through personalized recommendations powered by advanced relevance models, and deep insights into viewer behavior.

As a Senior Manager, ML Infrastructure, you will 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. You will bring clarity to ambiguity, architecting infrastructure that dramatically improves the agility, usability, and extensibility of our ML solutions. Your technical leadership will shape the future of AI / ML across Prime Video, unlocking generative and predictive models that personalize content for hundreds of millions of viewers worldwide.

Your day will involve 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. You'll collaborate with cross-functional teams, including product managers, data scientists and applied scientists. With your deep expertise in machine learning infrastructure and and distributed systems, you'll ensure these AI-driven solutions are scalable, reliable, and responsible, while continuously innovating to deliver delightful customer experiences.

BASIC

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants :
Job duties for this position…

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