Manager, Research Scientist

Job description

DESCRIPTION

Do you like Alexa? Do you have a passion for cars? Do you love bleeding edge technology? Are you a Research scientist looking for the next big challenge? Alexa Automotive is looking for a Research Scientist to bring Alexa - the voice controlled personal assistant behind Amazon Echo – to automobiles. The team seeks to provide seamless experiences for customers with Alexa in the car.

Alexa Automotive team is looking for a Research Scientist with strong software development skills as we build a team of talented and passionate scientists in the field of Natural Language Processing (NLP). Our mission is to build the best voice-enabled experience for the automobile, delighting our customer with never-before possible interactions that not only improve the overall driving experience but also continually surprise and delight our customers. As a Research Scientist, you will participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. You will work with software developers and other teams to design and implement statistical models for how customers use and interact with the features in their cars. You will help lay the foundation to create and enable learned behaviors that allow Alexa to proactively take action on behalf of the customer allowing for a more delightful driving experience. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day.

Desired profile

BASIC QUALIFICATIONS

· Graduate degree (MS or PhD) in Computer Sciences, Mathematics, or Statistics with specialization in natural language processing, or machine learning.
· 5+ years experience applying ML to solve complex problems for large-scale applications.
· 2+ years experience managing Machine Learning Scientists.
· Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.
· Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes.
· Experience hiring and leading experienced scientists as well as experience developing junior members from academia/industry to a successful career track