• Sr. Applied Science Manager

    Company/Location (search) DE-Berlin
    Posted Date 1 week ago(11/8/2018 8:01 AM)
    Job ID
    # Positions
    Position Category for Posting
    Research Science
    Company/Location (search) : Country (Full Name)
  • Job Description

    We’re looking for a Senior Applied Scientist to join the team.

    The Machine Learning teams at Amazon are made up of engineers and scientists who develop and implement the scalable ML platforms and systems that enable us to delight our customers with new products and services. The innovative work of our ML team support not only supports our eCommerce platform, but also has an impact on Amazon Web Services, Seller & Buyer services and Kindle.

    We are looking for a Scientist who want to work at the intersection of ML, Search and Human-Computer Dialogue. You can understand and develop complex models but are passionate about delivering delightful user experiences. If you’re keen to work on real-world challenges with some of the most talented applied scientists in the world, we’d love to hear from you.

    Key responsibilities:
    • Identify opportunities to improve our products and services.
    • Research and implement novel machine learning and statistical approaches to solve natural language problems that matter to our customers.
    • Work closely with software engineering teams to implement scalable algorithms and deploy models.

    Basic Qualifications

    • Ph.D. in NLP, Information Retrieval, ML, Statistics or another highly quantitative field.
    • 2+ years post-doc, academic or industry experience
    • Publications in top-tier NLP and ML conferences and journals.
    • 3+ years of recent development experience in Java, C++ or other high-level programming language.
    • Strong sense of ownership and drive.
    • Great communication skills.

    Preferred Qualifications

    • Experience in the use of ML algorithms for Retrieval or Dialogue problems.
    • Experienced working with very large amounts of data in a distributed setting.
    • 5+ years post-doc, academic or industry experience.
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