Amazon.com Services LLC

Applied Science, entertainment

Sr.AppliedScientist,PrimeVideo-PersonalizationandDiscoveryScience

$167–226k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Applied Scientist, Prime Video - Personalization and Discovery Science at Amazon.com Services LLC. Skills: Machine learning, Deep learning, Recommendation systems, Personalization. Develop AI solutions for recommendation and personalization systems. Design AI solutions using Deep learning”

What You'll Achieve.

Benefit millions of Amazon.com customers

Industry & Context.

Applied Science, entertainment
Problems you'll solve

Data-driven decision making

What They're Looking For.

Must Have

Master's degree and 6+ years of applied research experience, 5+ years of building machine learning models, Experience programming in Java, C++, Python, Experience with neural deep learning methods, Machine learning experience

Nice to Have

PhD preferred, Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Experience with large scale distributed systems such as Hadoop, Spark

What You'll Do.

Develop AI solutions for recommendation and personalization systems

Design AI solutions using Deep learning

Design AI solutions using GenAI

Design AI solutions using Reinforcement Learning

Design AI solutions using optimization

Implement AI solutions end-to-end

Launch AI solutions end-to-end

Design offline experiments

Conduct offline experiments

Design online experiments

Conduct online experiments

Evaluate proposed solutions

Communicate technical ideas

Communicate non-technical ideas

Publish research findings

How You'll Work.

Team & Collaboration

Work closely with engineers; Work closely with product managers; Collaborate with talented teams; Collaborate with scientists; Collaborate with senior leaders

Communication Scope

Technical communication; Non-technical communication

Full Job Description

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 looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide. Key job responsibilities - Develop AI solutions for various Prime Video Recommendation

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