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Applied Scientist, Prime Video - Personalization and Discovery Science

Applied Scientist, Prime Video - Personalization and Discovery Science

MediabistroSunnyvale, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Applied Scientist, Prime Video - Personalization and Discovery Science

Join to apply for the Applied Scientist, Prime Video - Personalization and Discovery Science role at Prime Video & Amazon MGM Studios

Prime Video is a leading entertainment platform offering a vast collection of premium programming across multiple devices. Prime members can customize their viewing experience and access a wide range of movies, series, documentaries, and live sports, including Amazon MGM Studios-produced content, licensed favorites, and programming from Prime Video add-on subscriptions like Apple TV+, Max, Crunchyroll, and MGM+. All users can rent or buy titles via the Prime Video Store and enjoy free content with ads.

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experiences. As a technologist, you’ll have end-to-end ownership of products, user experience, design, and technology to deliver state-of-the-art experiences. You’ll work on fast-paced, challenging projects, experiment with new ideas, take risks, and collaborate with talented teams.

We value diverse perspectives, ideas, and skill-sets to improve Prime Video for our customers. With global opportunities, your career path can be as broad as your ambitions.

We seek a self-motivated, passionate, and resourceful Applied Scientist to bring diverse perspectives and expertise. You will be a hands-on machine learning practitioner and research leader, building and guiding models from inception to deployment, impacting millions of customers worldwide.

Key job responsibilities

  • Develop AI solutions for Prime Video Search systems using Deep Learning, GenAI, Reinforcement Learning, and optimization techniques.
  • Collaborate with engineers and product managers to design, implement, and deploy AI solutions end-to-end.
  • Design and execute offline and online (A / B) experiments to evaluate solutions based on data analysis.
  • Communicate technical ideas effectively to teammates and stakeholders.
  • Keep abreast of advancements in the field and incorporate new techniques.
  • Publish research findings at top conferences and journals.

About The Team

The Prime Video Search Science team develops solutions to power search experiences across devices, focusing on sourcing, relevance, and ranking, working closely with engineering teams to deploy solutions in production.

Basic Qualifications

  • PhD, or Master’s degree with 4+ years of experience in CS, CE, ML, or related fields.
  • 3+ years of experience building models for business applications.
  • Proficiency in Java, C++, Python, or related languages.
  • Experience developing machine learning models or algorithms for business use.
  • Preferred Qualifications

  • Enrolled in a PhD program in computer science, machine learning, engineering, or related fields.
  • Experience in search, advertising, recommendation systems, or related domains.
  • Amazon is an equal opportunity employer. We consider qualified applicants regardless of veteran status, disability, or other protected categories. For applicants in Los Angeles County, the role involves working safely, communicating effectively, and adhering to laws and policies, with considerations for criminal history in accordance with local ordinances.

    If you need workplace accommodations during the application process, visit this link . Our compensation varies by geographic market, with a range from $136,000 to $223,400 annually, plus potential equity, sign-on bonuses, and benefits. This position remains open until filled. Apply via our career site.

    Company : Amazon.com Services LLC

    Job ID : A

    Seniority level

  • Not Applicable
  • Employment type

  • Full-time
  • Job function

  • Research, Science, and Engineering
  • Industries

  • Entertainment Providers
  • #J-18808-Ljbffr

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    Applied Scientist • Sunnyvale, CA, United States

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