• Applied Scientist Intern – Machine Learning

    Location US-WA-Seattle
    Posted Date 7 days ago(07/13/2018 12:32 PM)
    Job ID
    Amazon.com Services, Inc.
  • Job Description

    Are you a MS or PhD student interested applying machine learning techniques to big-data sets? Are you excited by analyzing and modeling terabytes of text, images, and other types of data to solve real-world problems? We love data and we have lots of it. We’re looking for smart scientists capable of using machine learning and statistical techniques to invent state-of-the-art solutions to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

    Amazon has multiple positions available for Machine Learning Scientists in Seattle, Palo Alto, Boston, New York, Pittsburgh, and Cupertino, for machine learning experts that will be graduating before September 2019.

    Basic Qualifications

    • In the process of obtaining a Masters or Ph.D. degree (Ph.D strongly preferred) in Engineering, Computer Science, Machine Learning, Statistics or related fields
    • Strong background in machine learning with domain knowledge and experience in the following areas: data-driven statistical modeling, graphical models, feature extraction and analysis, supervised learning, in particular discriminative methods.
    • Theory and practice of Design of Experiments and statistical analysis of results.
    • An understanding of machine learning, algorithms and computational complexity.
    • Programming skills sufficient to extract, transform, and clean large (multi-TB) data sets in a Unix/Linux environment.
    • Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language
    • Ability to relate to and solve business problems through machine learning, data mining and statistical algorithms.
    • Strong desire to push your ideas into production, overcoming obstacles, in order to benefit Amazon's customers.

    Preferred Qualifications

    • Familiar with the core undergraduate curriculum of Computer Science.
    • Algorithm development experience
    • Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.
    • Publications at top-tier peer-reviewed conferences or journals
    • Familiar with the techniques and limitations of observational studies.
    • Familiar with theory and practice of information retrieval, relevance, machine learning, and data mining.
    • Skilled at data visualization and presentation.
    • Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.
    • Energy and willingness to formulate, test, and discard or revise many hypotheses to help Amazon improve its product catalog.

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