Sr. Applied Scientist, 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!

Our organization is building world-class teams with deep expertise in large-scale recommender systems. This role sits at the intersection of AI research and direct business impact, where recommendation quality directly influences business outcomes and customer satisfaction. You'll be joining a team focused on foundational models for recommender systems and working on production systems that serve millions of customers and shape the future of personalized entertainment experiences.

We're seeking talent who can deliver measurable impact on our core business metrics while advancing the state-of-the-art in personalization and recommendation technology.

Key job responsibilities
- Develop AI solutions for various Prime Video Search & Recommendation systems using Deep Learning, Reinforcement Learning, Optimization Methods, and most importantly, GenAI
- Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end
- 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 the field
- Publish your research findings in top conferences and journals

About the team
The Prime Video - Personalization & Discovery Science team owns science solution to power search experience on various devices, from sourcing, relevance, & ranking (to name a few). We are on a mission to deliver an AI-first customer experience. At the heart of this transformation are our recommendation systems -- core, customer-facing components that serve as primary drivers of engagement & growth.

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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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