• Software Development Manager, AWS SageMaker Notebooks

    Location US-WA-Seattle
    Posted Date 2 months ago(1/21/2019 4:22 PM)
    Job ID
    Company/Location (search) : Country (Full Name)
    United States
  • Job Description

    Interested in making an impact on the Machine Learning and AI ecosystem? As the SDM for Amazon SageMaker Notebooks, you’ll own the Notebook authoring and data scientist IDE experience for AWS ML. Your team's mission is to provide a highly scalable and collaborative data science workbench where any data scientist, developer, or student can launch a wholly configured and collaborative workspace in the cloud. The SageMaker Notebook SDM should have familiarity with ML development workflows and patterns, as well as experience with related open source communities. You'll engage with the maintainers of Jupyter/JupyterLab, nteract, etc. and ML education providers (e.g., fast.ai, Udacity) to keep SageMaker on the cutting edge and make meaningful contributions.

    Key Responsibilities:
    • Work closely with engineers to architect and develop the best technical design.
    • Continually improve operational excellence.
    • Collaborate with product management on the roadmap and delivery dates.
    • Manage the day-to-day activities of the engineering team within an Agile/Scrum environment
    • Develop the engineers of an existing “two pizza” scrum team.
    • Hire engineers.
    • Engage with open source and online ML education communities, staying abreast, influencing direction, and making contributions.
    • Collaborate with other SageMaker SDM's for features that cut across SageMaker.
    • Report on status of development, quality, operations, and system performance.
    • Engage with customers and other AWS partners.
    You'll be well supported with by a group with deep technical chops, including multiple principal engineers and peer SDMs that own other SageMaker components.

    What is SageMaker?
    Amazon SageMaker (https://aws.amazon.com/sagemaker/) is a fully-managed Machine Learning platform that makes it easy to build ML models, manage them, and integrate them with custom applications for batch or online predictions. SageMaker takes away the “heavy-lifting” normally associated with large-scale Machine Learning implementations so that developers and scientists can focus on the truly creative work of modeling and solving the business problem at hand.

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

    Basic Qualifications

    • Bachelor’s degree in Computer Science, Computer Engineering or related technical discipline.
    • 6+ years of relevant engineering experience.
    • 3+ years people management experience.
    • Experience with modern programming languages (Java, C#, Python, JavaScript/TypeScript) and open-source technologies.

    Preferred Qualifications

    • Machine learning knowledge and experience.
    • Active engagement with an open source community.
    • Contributing role to an ML education provider.
    • Experience building tools for data scientists and developers.
    • Track record of innovation.
    • Deep hands-on technical expertise with established skills in designing and developing solutions to complex problems in a distributed systems environment.
    • Ability to handle multiple competing priorities in a fast-paced environment.
    • A deep understanding of software development in a team, and a track record of shipping software on time.
    • Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet aggressive timelines with optimal solutions.
    • Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences.
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