Senior Manager Applied Science, Prime Video Personalization & Discovery

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.

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

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