Senior Applied Scientist

6 days ago


Boston, Massachusetts, United States Amazon Services LLC Full time
About the Role

We are seeking a highly skilled Senior Applied Scientist to join our Amazon Dash Cart team in Hudson, MA. As a key member of our hardware development team, you will be responsible for conceiving and evaluating innovative technologies to drive the development of our Dash Cart solutions.

Key Responsibilities
  • Evaluate and conceive new cameras, sensors, and computer vision systems that push the limits of existing technologies and delight our 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 interdisciplinary product development team, including outside partners, to bring prototypes into production.
  • Apply machine learning, data mining, statistical techniques, and other methods to create actionable, meaningful, and scalable solutions for our business' problems.
About the Team

We value diverse experiences and encourage candidates from all backgrounds to apply. If your career has taken an unconventional path, don't let that stop you from applying.

Why Amazon Services LLC

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, which is why customers from successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We prioritize work-life harmony, recognizing that achieving success at work should never come at the expense of sacrifices at home. Flexible work hours and arrangements are part of our culture, allowing us to support our employees in both their professional and personal lives.

Inclusive Team Culture

We foster a culture of inclusion that empowers us to be proud of our differences. Our employee-led affinity groups and ongoing events, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to embrace our uniqueness.

Mentorship and Career Growth

We strive to become Earth's Best Employer by providing endless knowledge-sharing, mentorship, and other career-advancing resources to help our employees develop into better-rounded professionals.

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. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.



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