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  • Sr Applied Scientist, Device Connectivity

    Amazon (Sunnyvale, CA)



    Apply Now

    Description

    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

     

    Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

     

    Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

     

    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

     

    Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

     


    Apply Now



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