Staff Machine Learning Engineer

3 months ago


Seattle, United States STOITECH Full time

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

Please note: This is a full-time, in-office position in Seattle, WA, or San Francisco, CA.

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