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    Senior Software Engineer, Data - New York, United States - re:collect

    re:collect
    re:collect New York, United States

    2 weeks ago

    Default job background
    Full time
    Description

    At re:collect, we are building an AI-powered thought partner that helps you ideate and create without breaking flow. Designed to mimic how your mind works, we use machine learning to connect and retrieve your digital information effortlessly. No tagging, organizing, or linking is required. We enable our customers to move beyond managing information to focusing on ideating, creating, and sharing ideas. Learn more about re:collect

    The role



    re:collect is hiring an experienced engineer to focus on how data flows through our product. Our product relies heavily on machine learning (ML) models, so you should have experience and a desire to build ML/AI-powered products.

    You'll collaborate with the Founder/CEO, AI Research Engineer, and Product Designer to develop the most efficient approach for transforming an idea into a deployed feature. As part of a small early-stage company, you'll wear many hats and work closely with the team to build our product and culture.

    Hats you'll wear

    • Collaborate with other engineers to build a data architecture that enables easy deployment of ML models into production.
    • Build client-server APIs to move data between the front and backends.
    • Build ways of bringing new data sources in from outside re:collect.
    • Develop and own ways of monitoring model performance.

    About you

    • Have deployed Machine Learning models.
    • Previously built end-to-end data pipelines.
    • Experience designing and scaling databases.
    • Embody strong empathy both for our customers and fellow employees.
    • Excited about the early stages of a company, you thrive in an environment with high levels of autonomy and accountability.

    It would be awesome if you also have

    • Have scaled a data infrastructure for a fast-growing consumer software product.
    • Trained machine learning models.
    • Worked with Graph and/or Vector databases.
    • Experience with data orchestration and ETL/ELT tools.
    • Good ideas for utilizing large cloud providers like AWS, GCP, and up-and-coming computing providers.
    • Excitement about and/or have built tools to augment thought work.
    • Previously worked in the early stages of a start-up.

    Benefits

    • Competitive salary and equity
    • Unlimited vacation policy
    • 100% medical, dental, and vision coverage for employees
    • 401(k) matching program
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