Director of Engineering - San Francisco - Rippling

    Rippling
    Rippling San Francisco

    1 week ago

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    Description

    Director of Engineering - Machine Learning and AI

    About Rippling

    Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

    Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

    Based in San Francisco, CA, Rippling has raised $1.2B from the world's top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

    We prioritize candidate safety. Please be aware that official communication will only be sent from @rippling.com addresses.

    About the role

    We are seeking a highly skilled and experienced leader to join Rippling's Applied Machine Learning team. We are using machine learning and large language models to build software which helps our customers operate their businesses more effectively. You will manage a blended team of machine learning modelers, infrastructure experts, and software engineers. This team is building data and algorithm-driven products, as well as ML-driven features in existing Rippling products. Successful individuals on our team tend to operate with autonomy and alacrity, with strong customer empathy, and an ability to drive outcomes across the entire engineering stack from data ingestion through modeling and into production.

    Key responsibilities:

    • Manage a team of engineers responsible for going from product ideation to data acquisition to modeling to serving customers in production.
    • Attract, recruit, hire, and develop a high-performing ML team.
    • Drive technical excellence, operational maturity, and code quality within your team.
    • Provide strong leadership to the engineering team, fostering a culture of collaboration, innovation, and continuous improvement.
    • Get your hands dirty, and build things with us.

    Requirements:

    • Ph.D. or equivalent in Computer Science, Engineering, Mathematics, or related field AND 6 or more years full-time Software Engineering work experience; OR
    • 10 years full-time Software Engineering work experience, which includes 6+ years of software engineering experience in one or more of the following areas: advertising, recommendation systems, risk/fraud modeling, or natural language processing.
    • Proven track record managing and scaling machine learning teams in one or more of the following areas: computational advertising, recommendation systems, risk/fraud modeling, autonomous vehicles, search, natural language processing, or a related field.
    • Excellent interpersonal and communication skills with the ability to collaborate with diverse stakeholders.
    • Strong analytical and problem-solving abilities, with a focus on data-driven decision-making.

    Additional qualifications:

    • Experience managing machine learning teams at two or more companies.
    • Experience with search relevance and search engine infrastructure.
    • Experience with big data systems in production: eg, Spark, Pinot, Presto.

    What we offer:

    This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location.

    The estimated annual salary for this role is: $216,000-$378,000 USD per year (US San Francisco Bay Area)



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