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Amazon is hiring: Senior Applied Scientist, Prime Video AI Automation in Seattle
Amazon is hiring: Senior Applied Scientist, Prime Video AI Automation in SeattleMediabistro • Seattle, WA, United States
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Amazon is hiring : Senior Applied Scientist, Prime Video AI Automation in Seattle

Amazon is hiring : Senior Applied Scientist, Prime Video AI Automation in Seattle

Mediabistro • Seattle, WA, United States
30+ days ago
Job type
  • Full-time
Job description

Senior Applied Scientist, Prime Video AI Automation

Job ID : 3093263 | Amazon.com Services LLC

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!

We are forming a new organization within Prime Video to redefine our operational landscape through the power of artificial intelligence. As a Senior Applied Scientist within this initiative, you will be a technical leader helping to design and build the intelligent systems that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient agentic AI and ML solutions from the ground up. You will not only write high-quality, maintainable software and models, but also mentor other scientists, influence our technical strategy, and drive engineering best practices across the team. Your work will directly contribute to making Prime Video's operations more efficient and will set the technical foundation for years to come.

Key job responsibilities

  • Lead the design and architecture of highly scalable, available, and resilient services for our AI automation platform.
  • Write high-quality, maintainable, and robust code to solve complex business problems, building flexible systems without over-engineering.
  • Act as a technical leader and mentor for other engineers on the team, assisting with career growth and encouraging excellence.
  • Work through ambiguous requirements, cut through complexity, and translate business needs into scalable technical solutions.
  • Take ownership of the full software development lifecycle, including design, testing, deployment, and operations.
  • Work closely with product managers, scientists, and other engineers to build and launch new features and systems.

About the team

This role offers a unique opportunity to shape the future of one of Amazon's most exciting businesses through the application of AI technologies. If you're passionate about leveraging AI to drive real-world impact at massive scale, we want to hear from you.

Basic Qualifications

  • PhD, or Master's degree and 6+ years of applied research experience
  • 5+ years of building machine learning models for business application experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning
  • Preferred Qualifications

  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  • Experience with large scale distributed systems such as Hadoop, Spark etc.
  • Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

    Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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.

    Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400 / year in our lowest geographic market up to $260,000 / year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and / or other benefits. For more information, please visit https : / / www.aboutamazon.com / workplace / employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

    Posted : September 27, 2025 (Updated about 18 hours ago)

    Posted : September 26, 2025 (Updated 1 day ago)

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

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    Applied Scientist • Seattle, WA, United States

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