Director, Applied Science, Prime Video Personalization & Discovery

About Prime Video:
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.

About the Team:
Prime Video Personalization and Discovery (PVPD) is dedicated to creating a highly personalized content discovery experience that not only delights our customers but also drives both short-and long-term business goals. Our scope includes personalized recommendations search marketing and the advanced machine learning technology and infrastructure that underpins these experiences. Our mission is to automate and enhance customer engagement through personalization using ML and Generative AI.

To drive these efforts Prime Video is seeking a visionary science leader to spearhead our investments in machine learning (ML) and artificial intelligence (AI). As a Director of Applied Science you will report directly to the VP of PVPD and oversee a large organization delivering against our ML strategy overseeing the design of our ML stack and ensuring the quality of our models. Your success in this role will depend on your deep expertise in search personalization discovery AI/ML Generative AI and your passion for entertainment. This is a unique opportunity to influence the future of television for billions of viewers worldwide. As a center of excellence in machine learning we are committed to leading the way in adopting and advancing cutting-edge technologies. We publish our research internally and externally and this role will place you at the forefront of applying Generative AI at scale using Amazons rich datasets. You will have a direct impact on shaping the future of entertainment driving massive customer experience improvements and achieving critical business KPIs.

Key job responsibilities
As the Director of Applied Science in the Prime Video Personalization and Discovery organization you will be responsible for optimizing the complete customer experience across the touch points throughout customers discovery journey. This includes building AI and optimization solutions working with the business product engineering teams to deliver the optimal balance of customer delight and business outcomes. Responsibilities include direct management of science and engineering managers along with senior engineers and scientists setting vision and long-range technical strategy product definition roadmap planning driving cross-functional execution developing and maintaining experimentation and production services owning ML and engineering excellence quality bar and customer and stakeholder communication. Additionally as our organization is growing hiring top-notch managers engineers and scientist will be a key focus.

* M.S. in Computer Science Machine Learning or a related field.
* 15 years experience in recommendation search natural language processing machine learning or a related field.
Expertise in large language models applications or demonstrated ability to develop this expertise quickly.
* Proven track record of leading and managing science and engineering teams in building complex real-time systems involving AI ML NLP with successful delivery to customers.
* Demonstrated track record of project delivery for large cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch.
* Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audience.
* Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests recommend alternative technical and business approaches and lead science efforts to meet timelines with optimal solutions.

* Ph.D. in Computer Science Machine Learning or a related field.
* Work with academic partners to support our in-house talent with direct access to research and mentoring.
* Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $262500/year in our lowest geographic market up to $350000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.