DESCRIPTION

* Note: This job is located in Hudson, MA

AWS Applications and Higher Level Abstractions (Apps) provides horizontal and industry vertical applications for business users with the same on-demand scalability, reliability, pay-as-you-go pricing, and machine learning expertise that drive AWS services. The AWS Applications group includes services such as Amazon Connect (a cost-effective cloud contact center), our End User Computing (including Amazon Workspaces, AppStream, etc.), Marketing Tech (Amazon Pinpoint), and Autonomous Checkout and Identity Services (Just Walk Out, Amazon One) for retail, sports, travel, and other verticals.

Amazon Dash Cart allows shoppers to checkout without lines — you just place the items in the cart and the cart will take care of the rest. Designed and custom-built by Amazonians, our Dash Cart uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Check it out at https://www.amazon.com/b?ie=UTF8&node=21289116011.

We are looking for a Senior Applied Scientist to develop hardware solutions that require significant innovation for our Amazon Dash Cart team, located in Hudson, MA.

As a Senior Applied Scientist within the hardware development team, you will engage with a skilled and accomplished cross-disciplinary staff to conceive and evaluate innovative technologies. You will collaborate with internal and external stakeholders to drive key aspects of technology solution definition, execution and validation. Some of the key job functions of the Senior Applied Scientist include:
– Evaluate or conceive of new cameras, sensors, and computer vision systems which push the limit of existing technologies and delight Dash Cart customers.
– Design embedded compute architectures optimized for cost and power efficiency.
– Propose hardware solutions and create working prototypes while working with hardware development engineers to bring those prototypes to production.
– Develop computer vision algorithms including ISP optimization and video pipelines architectures.
– Develop firmware device drivers for interfacing to a range of hardware components and sensors.
– Work closely with an inter-disciplinary product development team including outside partners to bring prototypes into production.
– Use machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for the business’ problems.

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

BASIC QUALIFICATIONS

– PhD, or Master’s degree

PREFERRED QUALIFICATIONS

– 6+ years of building machine learning models or developing algorithms for business application experience

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.

USA, MA, Boston