Sr. Manager, Applied Science, Prime Video Personalization & Discovery

Amazon • Seattle, WA • 1h ago

Description

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.

Key job responsibilities

As the Sr. Manager, 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 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 engineers and scientists will be a key focus.

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) to reimagine the next-generation search experience on Prime Video. You will oversee a large team 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 Amazon's rich datasets. You will have a direct impact on shaping the future of entertainment, driving massive customer experience improvements, and achieving critical business KPIs.

Basic Qualifications

M.S. in Computer Science, Machine Learning, or a related field.

10+ 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.

Preferred Qualifications

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.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't 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 https://amazon.jobs/en/benefits .

USA, WA, SEATTLE - 218,800.00 - 295,900.00 USD annually

Amazon

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