Applied Scientist, Amazon Dash Cart

* Note: This job is located in Hudson, MA

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 an Applied Scientist to develop hardware solutions that require significant innovation for our Amazon Dash Cart team, located in Hudson, MA.

As an 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.

Key job responsibilities

- 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.

BASIC QUALIFICATIONS

- 3+ years of building models for business application experience

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

- Experience in patents or publications at top-tier peer-reviewed conferences or journals

- Experience programming in Java, C++, Python or related language

- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

- Experience using Unix/Linux

- Experience in professional software development

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.

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