Applied Scientist II, Prime Video Personalization and Discovery Science
Job ID: | 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 membership, can rent or buy titles via the Prime Video Store and enjoy additional 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 experiences.
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, you can decide where a career in 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 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 & 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, 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 science solutions to power recommendation and personalization experiences on various Prime Video surfaces and devices. We work closely with the engineering teams to launch our solutions in production.
Basic Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- 3+ years of building models for business application experience.
- Experience programming in Java, C++, Python or related language.
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing.
Preferred Qualifications
- Experience using Unix/Linux.
- Experience in professional software development.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Salary range for this position:
- USA, CA, Sunnyvale – $171,600.00 – $222,200.00 annually.
- USA, WA, Seattle – $142,800.00 – $193,200.00 annually.
Benefits include health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, 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. For a full list, visit
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