Product Features
Blog
Contact Us
Sign In
Amazon
,
London, Greater London
2020 Machine Learning Internship - Prime Video
Overview
Job Description
Amazon's Prime Video is a premium on-demand video entertainment service that offers customers the greatest choice in what to watch, from popular Prime Original TV shows (made by Amazon Studios) such as The Grand Tour, Tom Clancy's Jack Ryan and the recent Golden Globe winning The Marvelous Mrs. Maisel to Prime Original Movies like the Oscar-winning Manchester by the Sea and The Salesman. The service also offers TV shows that are exclusively available for Prime members in each country such as American Gods, MR ROBOT and Outlander, and more recently live sport including 37 ATP matches, as well as the US Open and Premier League games exclusively from 2019. Beyond this, the service further differentiates from other video-on-demand services by offering Prime members the opportunity to subscribe to 60+ channels like Discovery, Starz, Eurosport Player and hayu and hundreds of thousands of additional titles to watch instantly with no extra apps to download or long term contracts. Prime Video is at the forefront of the entertainment industry and growing fast - now available in more than 240 countries and territories worldwide - and we work in a dynamic, and exciting environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. As an Applied Science Intern, you will apply your deep knowledge of machine learning to concrete problems that have broad cross-organizational, global, and technology impact. Your work will focus on real time analysis of Prime Video telemetry and the identification and detection of anomalous behaviour across millions of time series based metrics. This will include researching methods, developing algorithms, training and evaluating models that are continuously monitored. These will influence large scale engineering efforts to solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models. You consistently bring strong, data-driven business and technical judgment to decisions. We embrace the challenges of a fast paced market and evolving technologies, paving the way to universal availability of content. You will be encouraged to see the big picture, be innovative, and positively impact millions of customers. This is a young and evolving business where creativity and drive will have a lasting impact on the way video is enjoyed worldwide.