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    Staff Software Engineer, Performance - Ontario, Canada - Voxel

    Voxel
    Voxel Ontario, Canada

    1 week ago

    Default job background
    Description

    Industrial labor is incredibly dangerous work - almost 3 million people in the US per year are injured in the workplace for entirely preventable and at times, fatal or debilitating causes.

    At Voxel, we're passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology.

    Voxel's site intelligence platform helps safety and operations leaders see the unseen risks, make strategic decisions, and prevent workplace incidents before they happen.

    Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehousers, supply chain and logistics service providers.

    Voxel is seeking a highly skilled and experienced Senior ML Infrastructure professional to join their team.

    The ideal candidate will have a strong background in software engineering, extensive experience working with distributed systems, and a deep understanding of infrastructure and ML systems.

    Build out internal training framework to make research with large distributed models easy and fun
    Design and develop systems to support Voxel's ML development, with a focus on computer vision applications.
    Provide technical guidance, mentorship, and project management support.
    Build distributed systems and pipelines for data management, ensuring scalability, reliability, and performance.
    Demonstrate a deep understanding of DevOps practices and apply them to ML operations.
    Utilize technologies such as Kubernetes and various CI/CD systems to optimize infrastructure deployment and management.
    Handle the complexities of designing and implementing ML infrastructure systems in a dynamic and fast-paced startup environment.
    Bachelor's degree in Computer Science or a related field.
    Minimum 5+ years of experience in software engineering, with a focus on infrastructure design.
    Proven experience in designing complex systems and strong software engineering skills.
    Demonstrated expertise in DevOps practices, with a focus on ML.
    Knowledge of advanced ML operations techniques, such as model deployment and monitoring.
    Experience with pipeline automation and data management in ML workflows.
    Previous experience building ML systems and working on ML adjacent teams.
    $Extensive / Generous health, dental, and vision insurance.
    Generous paid time off and / or flexible work arrangements.
    Daily meals in-office, vibrant company events, team-building.
    401K retirement plan, HSA options, pre-tax Commuter Card.
    #
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