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    Staff Machine Learning Engineer - Seattle, United States - STOITECH Executive Search and Placement

    STOITECH Executive Search and Placement
    STOITECH Executive Search and Placement Seattle, United States

    2 weeks ago

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    Description

    Are you passionate about using machine learning to improve people's lives? Our client is a growing FinTech startup (Series A funded, ~50 employees) building innovative products that empower everyday consumers to manage their finances. Join their mission-driven Data Science team and make a tangible impact

    What You'll Do:

    • Design and develop cutting-edge AI models to power the company's FinTech solutions (think fraud detection, financial growth tools, etc.).
    • Collaborate closely with the data science team (including Staff Data Scientists), product managers, and engineers to bring their models to life.
    • Stay on top of the latest AI research and integrate those advancements into their work.
    • Manage projects independently, ensuring timely and successful completion of deliverables.
    • Communicate complex technical concepts to a diverse team with varying levels of machine learning expertise.
    • Contribute to the development and growth of the data science function within the company.

    Why You'll Love It Here:

    • Fast-paced, high-growth environment: Make a real impact on a growing startup.
    • Exceptional learning & development: Work alongside experienced data scientists and hone your skills.
    • Meaningful work: Apply your expertise to build models that improve people's financial well-being.
    • State-of-the-art data infrastructure: Leverage clean, well-organized datasets and advanced tooling.

    Who You Are:

    • Master's degree or PhD in Computer Science, Physics, Mathematics, Engineering, or a related field.
    • 5+ years of hands-on experience in data science, deep learning, and neural networks.
    • Experience in a deep learning framework (PyTorch/TensorFlow)
    • Extensive experience with at least 1 cloud computing provider (GCP preferred)
    • Strong analytical and problem-solving skills
    • Excellent communication and teamwork skills
    • Passion for AI, finance, and building something that makes a difference

    Ready to Make a Difference?

    If you're a machine-learning rockstar who thrives in a collaborative environment and wants to use your skills for good, we want to hear from you

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