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Prime Video & Amazon MGM Studios Logo

Director, Applied Science, Prime Video Personalization & Discovery

Prime Video & Amazon MGM Studios

$262,500 - $350,000
Jul 4, 2025
New York, NY, US
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Prime Video Personalization and Discovery (PVPD) is looking to create a highly personalized content discovery experience that delights customers and drives business goals by leveraging machine learning and Generative AI.

Requirements

  • M.S. in Computer Science, Machine Learning, or a related field.
  • 15+ years experience in recommendation, search, natural language processing, machine learning, or a related field.
  • Expertise in large language models applications or demonstrated ability to develop this expertise quickly.
  • Proven track record of leading and managing science and engineering teams in building complex, real-time systems involving AI, ML, NLP with successful delivery to customers.
  • Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
  • Ability to take a project from requirements gathering and design to actual product launch.
  • Ph.D. in Computer Science, Machine Learning, or a related field.

Responsibilities

  • Oversee the design of our ML stack.
  • Ensure the quality of our models.
  • Spearhead investments in machine learning (ML) and artificial intelligence (AI).
  • Oversee a large organization delivering against our ML strategy.
  • Build AI and optimization solutions.
  • Develop and maintain experimentation and production services.
  • Own ML and engineering excellence quality bar.

Other

  • Report directly to the VP of PVPD.
  • Set vision and long-range technical strategy.
  • Product definition, roadmap planning.
  • Driving cross-functional execution.
  • Hiring top-notch managers, engineers and scientist will be a key focus.
  • Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audience.
  • Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet timelines with optimal solutions.
  • Work with academic partners to support our in-house talent with direct access to research and mentoring.
  • Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.
  • Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  • work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.
  • Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
  • If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
  • If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
  • This position will remain posted until filled.
  • Applicants should apply via our internal or external career site.