Machine Learning Engineer II, Just Walk Out (JWO)
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About The Position
As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go! We are looking for a talented Machine Learning Engineer to join our team. In this role, you will be responsible for translating business and functional requirements into concrete deliverables with the design, development, testing, and deployment of highly scalable distributed services. You will partner with scientists and other engineers to help investigate, evaluate, implement, and connect sophisticated algorithms to our cloud based engines. You will design, build, evaluate prototypes and production-ready components. Candidates should also be very agile in developing flexible software with respect to scientific, experimentation methods and usage patterns. You will have the opportunity to work with scalable model development tools using SageMaker, AWS, Nvidia GPUs and Docker. You will learn techniques for automating model training, evaluation, deployment and monitoring using machine learning pipelines. You will work closely with researchers in building algorithms ranging from classical machine learning to foundational multi-modal models on diverse types of signals.
