Software Development Engineer, Prime Video Customer Title Relevance

Prime Video is changing the way millions of customers interact with video content. The Prime Video team delivers high-quality video to Amazon customers through subscriptions (Amazon Prime) as well as purchases and rentals. Amazon believes so deeply in the mission of our video offering that we've launched our own studio to create original and exclusive content.

PV CTR (Customer Title Relevance) team owns the machine learning system that the determine the Prime Video contents (TV & Movies) being recommended for all customers by determining the relevancy between the titles and the customers.

Are you looking for an opportunity to use machine learning and add a valuable skill to your developer toolkit? Are you prepared to take on manual and partially automated business processes and replace them with high-velocity AI enabled services? We are looking for software developers willing to embrace ML, re-invent established business processes, replace them with an algorithm driven platform and most of all, think out side the box for our customers. Prior experience with machine learning is not required, though will be helpful.

You will join a development team that interacts with product and data scientist teams. Our team researches and builds channels through which we engage and stay connected with our customers. The services we build rely on leading edge machine learning techniques to learn about our customer needs and to match them with a wide array of video content. In short, we have exciting challenges in an industry that’s doubling in size every year, and you can be a part of it!

You should expect to exercise both your coding skills and creative abstract thinking as you map real world processes to automated systems. Please be aware that even though diving deep into machine learning algorithms is not a requirement for this position, a small, but statistically significant percentage of developers find their propensity for math dangerously elevated over time.

If you are ready to truly make an impact on a product that interacts with millions of people around the world, including your own friends and family, then we would love to talk to you!

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA