Machine Learning Engineer

17 hours ago


San Francisco, California, United States Selby Jennings Full time

Selby Jennings is partnering with a pioneering FinTech company that has achieved unicorn status in just five years, propelling from seed stage to Series D with over $1 billion in valuation. Their mission is to democratize access to capital by leveraging technology to minimize transaction costs. They have designed a revolutionary, transparent, and cost-effective credit card specifically for homeowners.

The Team

The team is comprised of experienced professionals from both finance and technology industries. The company was founded by former engineering executives at Facebook and Square with engineering degrees from MIT and University of Waterloo. Key players have backgrounds with renowned companies such as Goldman Sachs, SoFi, Square, Microsoft, and Facebook, while investors include top-tier firms like Founders Fund, Sequoia, and Khosla Ventures. The company is actively seeking exceptional talent to help build and refine its vision. Their collective experience includes:

  • Financial products (e.g., Square/Cash App, early CapitalOne credit cards)
  • Consumer products (e.g., Facebook, Xbox)
  • Technology infrastructure (e.g., C++/C#, Visual Studio, Windows, Azure)

Job Requirements

The company is seeking an experienced Machine Learning Engineer who thrives on solving complex, multifaceted problems and has a deep understanding of all parts of a system. The ideal candidate will take ownership of performance issues, debug race conditions across client-server interactions, and lead efforts in system architecture, design, and code reviews. Over time, this role will evolve to include significant technical leadership responsibilities.

  • Working as part of our team researching and engineering ML systems.
  • Training large neural networks and machine learning systems at scale in HPC clusters.
  • Architecting and implementing ML training, validation, and inference pipelines from idea to product.
  • Researching and implementing state-of-the-art algorithms from literature.
  • Using good software engineering practices to write production-grade software.
  • Innovating and defining novel creative solutions to deep problems using first-principles thinking, and communicating your ideas to the team.

What We Offer

  • Office based in San Francisco.
  • Competitive salary and stock.
  • Excellent health benefits and a matched 401(k) plan.
  • Opportunity to publish research and co-author patents.


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