Applied Science Manager, Prime Video Personalization & Discovery

AmazonSunnyvale, CA
78d$165,500 - $286,000

About The Position

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!

Requirements

  • PhD, or Master's degree and 6+ years of applied research experience
  • 4+ years of applied research experience
  • 3+ years of scientists or machine learning engineers management experience
  • 3+ years of building machine learning models for business application experience
  • Knowledge of ML, NLP, Information Retrieval and Analytics
  • Experience programming in Java, C++, Python or related language
  • Strong strategic thinking, strong communication and cross-team collaboration skills

Nice To Haves

  • Hands-on experience with large-scale online recommendation systems

Responsibilities

  • Lead to develop AI solutions for various Prime Video recommendation and personalization systems using Deep learning, GenAI, Reinforcement Learning, recommendation system and optimization methods
  • Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end
  • Effectively communicate technical and non-technical ideas with teammates and stakeholders
  • Stay up-to-date with advancements and the latest modeling techniques in the field
  • Hire and grow a science team working in this exciting video personalization domain

Benefits

  • Medical benefits
  • Financial benefits
  • Equity options
  • Sign-on payments

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

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