Offers “Amazon”

Expires soon Amazon

Research Scientist, Alexa Automotive

  • San Francisco (City and County of San Francisco)
  • IT development

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 with technical aptitude? Alexa Automotive is looking for a research scientist to bring Alexa - the voice controlled personal assistant behind Amazon Echo – in automobiles. The team seeks to provide seamless experiences for customers with Alexa in the car.

Alexa Automotive Personal Mobility team is looking for a Research Scientist with strong software development skills as we build a team of talented and passionate research scientists in the field of Natural Language Processing (NLP). Our mission is to push the envelope in NLP, in order to provide the best-possible experience for our customers in local search, navigation/traffic and public transit areas. As an 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 smart devices in their homes. You will help lay the foundation to move from directed device interactions to learned behaviors that enable Alexa to proactively take action on behalf of the customer. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day. Like the world of smart phones less than 10 years ago, this is a rare opportunity to have a giant impact on the way people live.

Desired profile

BASIC QUALIFICATIONS

· Graduate degree (MS or PhD) in Computer Sciences, Mathematics, or Statistics with specialization in natural language processing, or machine learning.
· 2+ years of hands-on experience in predictive modeling and analysis, and in deploying machine learning / deep learning models in production.
· 3+ years of hands-on experience in programming languages such as Java and Python

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