• Applied Machine Learning Scientist

    Location US-CA-Sunnyvale
    Posted Date 3 months ago(5/22/2018 1:17 PM)
    Job ID
    666210
    Company
    A2Z Development Center, Inc.
  • Job Description

    External job description
    Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?

    The Role:
    Do you want to join a new crew of scientists who want to use machine learning and statistical techniques to create state-of-the-art solutions to impact Amazon’s products? Do you want to build predictive algorithmic systems that impact design decisions and optimize our engineering expectations in products? Are you excited by the prospect of analyzing and modeling terabytes of field and customer data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact our products? Can you teach Machine Learning techniques comprehensively and lead teams to apply the best solutions? If you have an entrepreneurial spirit, know how to deliver, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems, we want to talk to you.

    Major responsibilities
    • Use statistical and machine learning techniques to deep dive and model customer behavior in how they use our Amazon hardware products.
    • Analyze and extract relevant information from large amounts of Amazon’s historical business data to help drive business decisions on product features and field reliability
    • Architect systems, design and code highly innovative models for predictive learning
    • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
    • Develop systems that can report field performance to management
    • Research, Teach and lead teams to adopt state of the art machine learning and statistical approaches

    Basic Qualifications

    Basic Qualifications
    • An MS in CS machine learning, Operational research, Statistics or in a highly quantitative field
    • 2+ years of hands-on experience in predictive modeling and analysis
    • Fluent in Python + ML/Stat Libraries
    • 1+ years of experience in using R, JMP, Mathematica, SAS/SQL, or or any other statistical software
    • Demonstrated strong problem solving skills in analysis
    • Good Communication and data presentation skills

    Preferred Qualifications

    • Experience with MXNET or Machine Learning equivalent platforms
    • Experience in product field performance statistical analysis
    • A PhD in Statistics, CS machine learning, Operational research

    Lab126 is part of the Amazon.com, Inc. group of companies and is an Equal Opportunity-Affirmative Action Employer-Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation
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