Travel scientist

2 weeks ago

Boston MA, United States Amazon.com Services LLC Full time

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. 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. 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.
- Develop computer vision algorithms including ISP optimization and video pipelines architectures.
- Use machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for the business' problems.
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.
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.
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.
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.
PhD, or Master's degree
6+ years of building machine learning models or developing algorithms for business application experience
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

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