Senior Manager Applied Science, Prime Video Personalization & Discovery

Amazon Science

Seattle (WA)

On-site

USD 219,000 - 296,000

Full time

9 days ago

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Benefits offered by this job

Health insurance

RSUs

Sign-on bonus

401(k) matching

Paid time off

Job summary

Amazon Science is seeking a Sr. Manager, Applied Science within Prime Video Personalization and Discovery.

You will lead the development of AI and optimization solutions across the discovery journey, partnering with product and engineering teams to balance customer delight with business outcomes. The PVPD organization focuses on personalized recommendations, search, and ML infrastructure to automate engagement; candidates should have 10+ years ML experience and proven leadership in large-scale

Qualifications

Extensive ML/AI experience at Internet scale and large data systems.
Ability to translate customer needs into concrete ML problems.
Proven leadership in hiring and guiding senior scientists.
Strong background with big data technologies and ML frameworks.

Responsibilities

Lead the design and deployment of AI/optimization solutions across PVPD.
Collaborate with product and engineering to optimize discovery journeys.
Drive balance between customer delight and business outcomes.
Manage and mentor a team of scientists and engineers.

Skills

ML at Internet scale

Requirements distillation

People leadership

Applied ML at scale

Big data & ML

People management

Programming concepts

Applied ML research

Education

Master's degree in Computer Science

PhD in Computer Science

Tools

AWS

Hadoop

Spark

Pig

Hive

Java

C++

Python

MATLAB

Job description

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.

Description

Prime Video Personalization and Discovery organization operates at a global scale and is a critical part of Prime Video’s flywheel. We are responsible for matching customers with the right content at the right time, at all touch points throughout customers' content discovery journey: from home page, title page, and search page, to showing recommendations at the end of an episode or a movie. We drive both immediate and long-term business objectives while delighting our customers.

Key job responsibilities

As a 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 product, engineering teams to deliver the optimal balance of customer delight and business outcomes.

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.

Basic Qualifications

10+ years of building large-scale machine learning and AI solutions at Internet scale experience
Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
Experience building large-scale machine learning and AI solutions at Internet scale
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track

Preferred Qualifications

10+ years of practical work applying ML to solve complex problems for large-scale applications experience
5+ years of hands-on work in big data, machine learning and predictive modeling experience
5+ years of people management experience
PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
Experience in practical work applying ML to solve complex problems for large scale applications
Experience working with big data, machine learning and predictive modeling
Experience in people management
Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language
Experience researching actual applications

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

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