Research Scientist

Job description

DESCRIPTION

DESCRIPTION
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.

The Role:
We are looking for an outstanding Sr. Applied Scientist who 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, deep learning) for complex problems, implement prototypes 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.

Key Responsibilities:
· Guide and develop the technical approach for the design and implementation of successful models and algorithms in support of Go business.
· Work in expert cross-functional teams delivering on demanding projects.
· Functionally decompose complex problems into simple, straight-forward solutions.
· Share knowledge in state-of-the-art statistics and machine learning research applicable to our problem space.
If you have an entrepreneurial spirit, know how to deliver, are deeply technical, highly innovative and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.

Desired profile

BASIC QUALIFICATIONS

· PhD in computer science, machine learning, statistics or in a highly quantitative field.
· Comfortable with ambiguity
· Hands-on experience in development of learning and predictive systems.
· Strong programming skills with at least one object oriented language (e.g. Java) and one scripting language (e.g. Python).
· Strong problem-solving ability.
· Excellent communication and presentation skills