Staff Machine Learning Engineer Job at STOITECH, San Francisco, CA

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  • STOITECH
  • San Francisco, CA

Job 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!

 

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

 

Job Tags

Full time,

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