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.
About the team
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.
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with conducting research in a corporate setting
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually