Sr. Applied Scientist, Prime Video Personalization and Discovery Science, 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 Videos technology teams are creating best-in-class digital video experience.

As a Prime Video technologist youll have end-to-end ownership of the product user experience design and technology required to deliver state-of-the-art experiences for our customers. Youll get to work on projects that are fast-paced challenging and varied. Youll also be able to experiment with new possibilities take risks and collaborate with remarkable people.

Well 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 customers worldwide.

Key job responsibilities

Develop foundation models for content understanding using state-of-the-art deep learning and multimodal learning techniques to analyze video audio 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.

About the team
Prime Video Recommendation Science team owns 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.

- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning

- 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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. 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 CA Sunnyvale - 192200.00 - 260000.00 USD annually
USA NY New York - 183800.00 - 248700.00 USD annually
USA WA SEATTLE - 167100.00 - 226100.00 USD annually