Easter Seals Jobs

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 cutting-edge 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.

We are open to hiring candidates to work out of one of the following locations:

Sunnyvale, CA, USA

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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/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.