Machine Learning Engineer, MLE II, Amazon Dash Cart

Found in: Jooble US O C2 - 2 weeks ago

Seattle WA, United States Amazon Full time

Machine Learning Engineer, MLE II, Amazon Dash Cart
com Services LLC
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.
Are you interested in applying machine learning to improve the customer shopping experience in grocery stores? We are an engineering team shipping innovative algorithms running in the cloud and at the edge on the Amazon Dash Cart to provide shoppers a better shopping experience.
The Amazon Dash Cart is a smart shopping cart that has a variety of sensors to provide a real-time receipt of a customers basket and the ability to bag as they shop. The Amazon Dash Cart also provides a number of convenience features like finding items with store maps and weighing produce in the basket. Amazon Dash Cart’s are available at Amazon Fresh, Whole Foods, and Mceever’s Market. Our team owns the vision and non-vision algorithms running on the Dash Cart and in the cloud. Once we have found the right algorithm, our team owns the design, implementation, deployment, and operation of the ML system in production.
Design and implement production ML pipelines
* Deploy ML pipelines and models to production systems and operate them including monitoring and troubleshooting
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.
4+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience with C++, Python, and Rust
- Experience with Machine Learning, Deep Learning, and/or Robotics Perception
- Experience with hardware integration (e.g. neural network accelerators, hardware release cycles)
- Experience with AWS, SageMaker, and cloud inference.
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
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. 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.
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