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    Tech Lead - San Francisco, United States - Scale AI

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    [Full Time] Tech Lead - Nucleus at Scale AI (United States) | BEAMSTART Jobs

    Tech Lead - Nucleus

    Scale AI United States
    Date Posted
    31 Oct, 2022
    Work Location
    San Francisco, United States
    Salary Offered
    Not Specified
    Job Type
    Full Time
    Experience Required
    6+ years
    Remote Work
    No
    Stock Options
    No
    Vacancies
    1 available

    Scale helps companies accelerate their development of AI applications, and is building out one of the largest hybrid human-machine systems.

    We are looking for outstanding engineers to help build Scale Nucleus, an active learning data management platform for teams to improve their ML models by improving their data.

    Data is the new code—and while code is what sets apart good and bad software systems, data is what distinguishes great AI systems.

    Software IDEs have existed for decades; we are building the Dataset IDE for AI.

    As a Senior Backend Engineer, you will be responsible for designing and implementing systems that can scale to billions of data points with high performance.


    You will be:
    Creating, building, educating, training and designing cloud computing architectures for our customers and internal teams.
    Creating abstractions of our core infrastructure which can scale to millions of humans and ML models working together.

    Work directly with our engineering and sales teams to create backend and infrastructure solutions to meet their challenging data and security needs.

    Propose, design, build, and deploy security improvements across Scale's environments.
    Work with our advisors and third party vendors and auditors on security compliance, pen tests and mitigations.

    Build systems capable of handling millions of frames of data every day, making it available to both our workforce and our internal teams with high availability.

    This role could be a fit if you have:5+ years of industry experience as a software engineer post-graduation
    Systems engineering experience with real-time and distributed system architecture.
    Experience building systems that process large volumes of data.
    Experience or interest in using the following: AWS, PostgreSQL, ElasticSearch, Typescript, Node, Spark, Presto,Python (note that we are mostly language-agnostic and are open to using whatever is the best tech for the problem at hand)
    At least a Bachelor's degree (or equivalent) in a relevant field.
    About Scale AI

    Data-centric infrastructure to accelerate the development of AI


    Company Size:
    People

    Year Founded:

    2016


    Country:
    United States


    Company Status:
    Actively Hiring

    Looking for Partners

    Looking for Clients

    Raising Funds

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