Applied Scientist II, Prime Video Personalization and Discovery Science

Applied Scientist II, Prime Video Personalization and Discovery Science
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!

Key job responsibilities

Develop foundation models for content understanding using state‑of‑the‑art deep learning and multimodal learning techniques to analyze video and text

Build time sequence foundation models to understand and predict customer behavior patterns and viewing trajectories

Work closely with engineers and product managers to design, implement and launch solutions end‑to‑end across various Prime Video experiences

Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in‑depth data analyses

Effectively communicate technical and non‑technical ideas with teammates and stakeholders

Stay up‑to‑date with advancements and the latest modeling techniques in foundation models, multimodal learning, and time series analysis

Publish your research findings in top conferences and journals

A day in the life
We’re using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don’t have a large behavioral signal (to tackle the cold‑start title problem). It will also allow us to find our customer’s niche interests, helping them discover groups of titles that they didn’t even know existed. We are looking for creative and customer‑obsessed machine learning scientists who can apply the latest research, state‑of‑the‑art algorithms, and ML to build highly scalable page personalization solutions. You’ll be a research leader in the space and a hands‑on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences.

About the team
Prime Video Recommendation Science team owns the science solution to power recommendation and personalization experience on various Prime Video surfaces and devices. We work closely with the engineering teams to launch our solutions in production.

Qualifications

3+ years of building models for business application experience

PhD, or Master's degree and 4+ years of CS/CE/ML or related field experience

Experience programming in Java, C++, Python or related language

Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing

Experience using Unix/Linux

Experience in professional software development

Location
USA, CA, Sunnyvale – 171,600.00 – 222,200.00 USD annually

USA, WA, Seattle – 142,800.00 – 193,200.00 USD annually

Benefits
Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

Equal Opportunity Statement
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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