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    Principal/Senior Principal Software Engineer - Boston, MA, United States - SimpliSafe Wireless Home Security

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    Description

    We're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure.

    And we've created a culture here that cares just as deeply about the career you're building. We're embracing a hybrid work model that enables our teams to split their time between office and home.

    Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week.

    SimpliSafe is looking for a Principal Software Engineer to join our AI team, to focus on the data supporting current and next generation ML solutions for our camera platforms.

    Lead the architectural design and development for our data collection and annotation practices that support ML and CV development.

    Collaborate with internal (Product, QA, cloud engineering) and third-party engineering teams to develop effective software solutions that aligns with business development and development of a ML platform.

    Create documentation for software design, implementation, and testing methodologies, that support the data lifecycle for ML development.

    Establish data collection practices, as well as data processing, curation, and selection methodologies for data annotation and dataset creation for ML development.

    Affect organization-wide initiatives involving software architecture, data processing, and best practices.
    Experience leading and building (architecture and implementation) consumer-grade, cross-functional software systems.
    10+ years in a software development role with a track-record as a technical lead.
    5+ years supporting development of production-grade machine learning solutions.
    Values testing (unit, mock, integration) and test-based/driven software development.
    2+ years experience utilizing computer vision annotation platforms.
    Experience establishing and maintaining taxonomies and ontologies for computer vision ground-truth datasets.
    Experience working with sensitive data following relevant privacy regulations.
    Experience using AWS services for large scale data processing.

    Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.

    Lift As We Climb - Investing in developing others and helping others around us succeed.
    We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact


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