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.

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.

As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

We are looking for a self-motivated, passionate and resourceful Software Development Engineer to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient ML platform solutions from the ground up. Your work will directly contribute to making Prime Video's operations more efficient and will set the technical foundation for years to come.

Key job responsibilities
As a SDE II on the Prime Video Measurement Platform team, you will have deep subject matter expertise in the area of recommendation systems and ML infra. You will work with teams of scientists, product managers and engineers to translate business and functional requirements into concrete system deliverables. You will have the opportunity to build new platform services from group up, driving the development of innovative approaches to personalization, and providing opportunities for scientists and engineers to invent and implement scalable ML solutions supporting new customer experiences.