About Prime Video: Prime Video is changing the way people watch movies and TV shows, offering more than 150,000 new release movies, next-day television shows and classic favorites available to rent or purchase on-demand, and more than 38,000 titles available to customers with an Amazon Prime membership. We believe so deeply in the mission of our video offering that we've launched our own Amazon Studios to create Original and Exclusive content. With an Amazon Prime membership, customers can have unlimited access to thousands of titles for no additional charge, including popular and award-winning Prime Originals like Jack Ryan, Fleabag and The Marvelous Mrs. Maisel.

About the team: The vision for the engagement automation team is to inspire our customers to engage with all that Prime Video brand has to offer. To achieve our vision, we create product and technology solutions that drive incremental activation and engagement of PV customers worldwide. We obsess over finding effective ways to reach active and inactive customers with relevant and timely content that drives traffic to the PV experience. Using smart rules and machine learning we generate relevant, timely, and personalized engagement opportunities via a broad portfolio of both in-app and out-of-app experiences, on a fully automated basis.


About the role: We seek an experienced Applied Scientist to be part of the Engagement Automation Science team. Join us in defining and designing a fully automated E2E engagement system powered by science to dynamically adapt to audience targetting for newly launched titles, increase customer engagement, activation and global adaption of prime video. You will have the opportunity to apply latest neural network, deep learning, and transfer learning models to define the target audience for Prime Video Originals and shows. You will also have the ability to apply causal modeling to identify customers with the most incremental impact from marketing activity as well as the defining characteristics of the most effective marketing campaigns. Additionally there is opportunity to apply Reinforcement Learning techniques to define the optimal marketing strategy (frequency, recency, touch point, channel, creative, copy) for each customer.


You should expect to exercise both your coding skills and creative research thinking as you map real world processes to ML enabled systems. 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. If you’re looking for an opportunity to make a big impact in a global business with a startup culture, we’re looking for you.

BASIC QUALIFICATIONS

· Masters in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
· Practical experience applying ML to solve complex problems;
· Algorithm and model development experience for large-scale applications;
· Experience using Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language;
· Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives

PREFERRED QUALIFICATIONS

· PhD in Computer Science (Machine Learning, AI, Statistics, Mathematics, or equivalent);
· Proven track record of innovation in creating novel algorithms and advancing the state of the art
· Strong fundamentals in problem solving, algorithm design and complexity analysis;
· Strong personal interest in learning, researching, and creating new technologies with high customer impact;
· Experience with defining research and development practices in an applied environment;
· Proven track record in technically leading and mentoring scientists
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.


All offers are conditional on references, verification of the right to work in the UK, and successful background screening check. This will include previous employment verification, qualification verification (if relevant) and a relevant criminal check.