• Fall Internship - Deep Learning Scientist

    Location US-WA-Seattle
    Posted Date 1 week ago(07/11/2018 11:33 AM)
    Job ID
    Amazon.com Services, Inc.
  • Job Description

    We are looking for interns who can work with one of our teams onsite during the fall term. You must be available for 12-16 weeks anytime from August 1 - Dec 31.

    Are you experienced at applying deep learning model 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 an excited researcher capable of using deep learning and statistical techniques to create state-of-the-art solutions to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

    Internships last 12-20 weeks and start year round. In order to be considered for an internship you must be enrolled at a university and plan to return for additional school terms prior to graduating.

    Basic Qualifications

    • Current enrollment in a degree-granting college or university working towards a Master’s or Ph.D. degree in Engineering, Computer Science, Machine Learning, Math, Statistics or related field.
    • 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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