Sr Applied Scientist, Device Connectivity

About the role

Device Connectivity team is empowering possibilities through wireless innovation on our devices and through services, our vision is to design and develop transformative products and services that consistently exceed our customers' expectations.

Requirements

• PhD, or Master's degree and 6+ years of applied research experience
• 3+ 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 conducting research in a corporate setting
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually

Additional Information

Come join the Device connectivity team in building the next generation of innovative wireless solution that create a magical experience on our products and services. We actively engage in strategic initiatives, foster partnerships with industry and academia, leverage foundational artificial intelligence and large language models to stay at the forefront of the technological advancements. Key job responsibilities As a Sr. Applied Scientist in the team, you will: - Seek to understand in depth the Devices and Services offering at Amazon, primarily focused on wireless solutions, and identify areas of opportunities to grow our business using AI solutions. - Design and lead AI roadmaps and solutions aimed at helping our customers have a delightful experience through our devices and service. - Work with our engineering partners and draw upon your experience to meet performance requirements within system constraints. - Identify untapped, high-risk technical and scientific directions, and devise new research directions that you will drive to completion and deliver. - Be responsible for communicating our AI innovations to the broader internal & external scientific community - Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in ML.

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