Senior Machine Learning Engineer

This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact.

We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on developing and maintaining machine learning infrastructure and operations, particularly for our cash advance underwriting model and other machine learning use cases. The ideal candidate will have a strong background in software development, machine learning, and data engineering, with experience in deploying scalable ML models in production environments.

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• Proficiency in programming languages such as Python or Ruby.

• Strong understanding of data structures, algorithms, and software design principles.

• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).

• Familiarity with MLOps practices and tools for continuous integration and deployment of ML models.

• Experience with cloud services (e.g., AWS, GCP) and containerization technologies (e.g., Docker, Kubernetes).

- Scrappy. We had a product goal and put out the MVP, collecting our first users with steady growth via paid channels in four months. We don’t cut corners when we know we’ll need them but we don’t build things without that need. We don’t like inefficiency but we dislike operationalizing one-off tasks even more.

- Risk-oriented. Everything has risk, but a mature team knows how to make these tradeoffs. That’s why we built the MVP fast––because time is your most valuable asset and is practically fungible with money in the startup world.

- Data-obsessed. We all look at data and pull it, and we believe that understanding the mechanics can yield valuable insights. Complex systems require elegant, not just simple solutions. You absolutely need to be interested in data if you want to leverage your knowledge of systems.

- Lucky. That’s how we look at this journey so far. From our timing of fundraising, to the circumstances in which we came together, to the initial product traction we’re getting, there’s no other word to describe it. We are grateful you are reading this, and we know that if you’re meant to be with us on this journey, then we will see you soon.