• Applied Scientist/NLP

    Location US-WA-Seattle
    Posted Date 9 months ago(5/3/2018 10:24 AM)
    Job ID
    Amazon.com Services, Inc.
    Position Category
    Machine Learning Science
    Company/Location (search) : Country (Full Name)
    United States
  • Job Description

    Interested in Amazon Echo? Come work on it. Alexa is the Amazon cloud service that powers Echo, the groundbreaking Amazon device designed around your voice.

    We are focused on building technology that combines natural language understanding, to allow customers to get answers to their questions in the most natural way possible. Our team designs and creates customer focused experiences focused around books. We are inventing the future, com join us!

    We are looking for Applied Scientist who can expand their NLP and ML knowledge to give a customer delighting answers for questions by leveraging book content.

    You will have the opportunity to make an impact to the design, architecture, and implementation of products that span multiple internal Amazon teams to deliver solutions that are customer delighters. This role will have regular interactions with various internal business owners to help prioritize tasks/projects, handling system issues, and managing communication across all stakeholders.

    Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

    Basic Qualifications

    • Ph.D. in NLP, ML, Statistics or another highly quantitative field.
    • Publications in top-tier NLP and ML conferences and journals.

    • Strong sense of ownership and drive.

    • Strong communication skills
    • Skills with programming language like R, MATLAB, Python or similar scripting language.

    Preferred Qualifications

    • Significant peer reviewed scientific contributions in relevant field.
    • Extensive experience applying theoretical models in an applied environment.

    • Expertize on a broad set of ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian Non-Parametrics methods.

    • Proven track record of production achievements in language, search and personalization.

    • Strong fundamentals in problem solving, algorithm design and complexity analysis.

    • Strong personal interest in learning, researching, and creating new technologies with high commercial impact.

    • Experience with defining organizational research and development practices in an industry setting.

    • Proven track in leading, mentoring and growing teams of scientists (teams of five or more scientists).

    • Strong communication and data presentation skills
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