• Sr Manager, Applied Scientist

    Location US-CA-Cupertino
    Posted Date 9 months ago(1/10/2018 9:46 PM)
    Job ID
    591159
    Company
    A2Z Development Center, Inc.
    Position Category
    Machine Learning Science
    Company/Location (search) : Country (Full Name)
    United States
  • 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?

    Work hard. Have fun. Make history.

    The Role

    If you’re eager to join a strategic part of Amazon that is innovative and in start-up mode and if you thrive on game-changing projects and technology, this is your opportunity. In this role, you will be the single-threaded Machine Learning and Computer Vision technology owner for a large invention effort, overseeing the invention and development of the algorithms to be deployed on device or cloud. You will coordinate and influence direct and dotted-line reports as well as stakeholders to create and execute on a coherent delivery plan. You will be responsible for ensuring the appropriate allocation of resources to productize and deliver the complex algorithm solution. In addition, you will set and manage to milestones with visibility at the executive level. You will act as a thought partner with the product team, working collaboratively to define and deliver the right experience for end customers. Your work will entail significant experimentation and original research to address unsolved problems at the leading edge of technology.
    As a deep domain expert, the Sr. Manager Applied Scientist will partner with technology and business leaders to build new services that surprise and delight our customers. The Sr. Manager will lead other research scientists and machine learning experts to design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Research science at Amazon is a highly experimental activity, although theoretical analysis and innovation are also welcome. Our scientists work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon.
    The key strategic objectives for this role include:
    • The role will sit at the heart of new initiatives in machine learning and computer vision, and will co-lead the development of product strategy with the product managers
    • Act as a technical expert, and lead projects. Determine limitations and compatibilities of technologies, select new concepts and methodology, and develop major algorithms
    • Deliver into production key machine learning and compute vision solutions while inventing and building algorithms from the ground up.
    • Mentor a team of research scientists with backgrounds in machine learning, computer vision, mathematics, and computer science.



    Basic Qualifications

    • Degree in Computer Science or related field, with specialty in machine learning and breadth of knowledge in Computer Vision domains
    • 10+ years of experience in machine learning, computer vision or related fields
    • 10+ years of experience of managing significant long term successful research projects will be desirable
    • 5+ years of experience, with a proven track record of leading large-scale machine learning and/or computer vision projects
    • Skills with Java, C++ (or other high-level programming language) as well as R, MATLAB, Python (or similar scripting language)

    Preferred Qualifications

    • PhD degree
    • Excellent judgment, organizational and problem solving skills; technical, project and personnel management skills
    • Ability and willingness to multi-task and learn new technologies quickly

      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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