Amazon Software Development Engineer II AMX Manager Hub 

United States, Washington, Seattle 

913881372

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.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 forming a new organization within Prime Video to redefine our operational landscape through the power of artificial intelligence. As a Senior Applied Scientist within this initiative, you will be a technical leader helping to design and build the intelligent systems that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient agentic AI and ML solutions from the ground up. You will not only write high-quality, maintainable software and models, but also mentor other scientists, influence our technical strategy, and drive engineering best practices across the team. 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
• Lead the design and architecture of highly scalable, available, and resilient services for our AI automation platform.
• Write high-quality, maintainable, and robust code to solve complex business problems, building flexible systems without over-engineering.
• Act as a technical leader and mentor for other engineers on the team, assisting with career growth and encouraging excellence.
• Work through ambiguous requirements, cut through complexity, and translate business needs into scalable technical solutions.
• Take ownership of the full software development lifecycle, including design, testing, deployment, and operations.
• Work closely with product managers, scientists, and other engineers to build and launch new features and systems.

- PhD, or Master's degree and 6+ years of applied research experience
- 5+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.