Offers “Amazon”

Expires soon Amazon

Applied Scientist, Alexa Automotive

  • Seattle (King)
  • IT development

Job description

DESCRIPTION

Do you like Alexa? Do you have a passion for cars? Do you love bleeding edge technology? Are you an Applied scientist looking for the next big challenge? Alexa Automotive is looking for an Applied 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 Applied 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 an Applied 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.
· 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/or Python.

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