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!
Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from the shelves and keeps track of them in a virtual cart. When you're done shopping, you can just leave the store. Shortly after, we'll charge your Amazon account and send you a receipt. Check it out at amazon.com/go.
We are looking for an outstanding Machine Learning Scientist that is able to apply Machine Learning theory into practice through experimentation and invention, develop new algorithms using machine learning techniques (such as random forest, Bayesian networks, ensemble learning, clustering) for complex problems, implement prototype for learning systems and work with massive datasets. Amazon has a culture of data-driven decision-making, and the expectation is that analytics are timely, accurate, innovative and actionable - this role will help deliver on that for Amazon Go.
We are a small research team that is passionate about what we do - we are excited about delivering a great CX to our customers every day. The Amazon Go research team will help all aspects of the Amazon Go business including forecasting sales, inventory management, product selection, store layout, and pricing.
* Use statistical and machine learning techniques to support the Amazon Go business. * Conduct A/B tests to evaluate new learning algorithms and features. * Establish processes for large-scale data analyses, model development, model validation and model implementation. * Act as a point of contact and machine learning leader for the business.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.