• Software Development Engineer, Amazon SageMaker ML Frameworks, AWS AmazonAI Machine Learning Platform

    Location US-WA-Seattle
    Posted Date 3 weeks ago(7/30/2018 5:24 PM)
    Job ID
    690363
    Company
    Amazon.com Services, Inc.
  • Job Description


    Interested in Machine Learning, and empowering the world to do more and better machine Learning? Amazon SageMaker, Amazon Web Service's (AWS) Machine Learning platform team is building customer-facing services to catalyze data scientists and software engineers in their machine learning endeavors. This product is a blend of HTTP API's, low and high-level SDK's, and an AWS Console UI.

    The ML Frameworks builds bridges from the languages and frameworks that data scientists work with SageMaker, with the goal of providing a world class user experience. This includes a suite of open source projects that make it easier to use SageMaker from popular ML Frameworks. Below are the GitHub projects we have (and more to come!):
    1. https://github.com/awslabs/amazon-sagemaker-examples
    2. https://github.com/aws/sagemaker-python-sdk
    3. https://github.com/aws/sagemaker-spark
    You will design, implement, test, document, and support cross-cutting services to help customers do machine learning at scale. You'll assist in gathering and analyzing business and functional requirements, and translate requirements into technical specifications for robust, scalable, supportable solutions that work well within the overall system architecture. You will serve as a key technical resource in the full development cycle, from conception to delivery and maintenance. You will produce comprehensive, usable software documentation; recommend changes in development, maintenance and system standards.

    You will own delivery of entire piece of the system and serve as technical lead on complex projects using best practice engineering standards, and hire/mentor junior development engineers.


    We're moving fast, and this is a great team to come to to have a huge impact on AWS and the world's customers we serve!

    Basic Qualifications

    • Bachelor’s Degree in Computer Science or related field
    • Computer Science fundamentals in object-oriented design
    • Computer Science fundamentals in data structures
    • Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
    • 5+ years professional experience in software development
    • Proficiency in, at least, one modern programming language such as Java, Python, C++, C#, Perl
    • At least know one deep learning framework such as TensorFlow, MXNet, PyTorch, Chainer

    Preferred Qualifications

    • Experience building complex software systems that have been successfully delivered to customers
    • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
    • Ability to take a project from scoping requirements through actual launch of the project
    • Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
    • Deep hands-on technical expertise in: large scale systems engineering; building and operating complex distributed systems
    • Experience with Machine Learning, data mining, and/or statistical analysis tools such as R and MATLAB is a plus
    • Master's degree in Computer Science, Computer or Electrical Engineering

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