Senior Applied Scientist, Prime Video AI Automation Job at Amazon in Nashville

Senior Applied Scientist, Prime Video AI Automation 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.

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.

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.

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.

Basic Qualifications - 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

Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers.

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