A fast-growing fintech startup is on a mission to transform credit decisioning with AI-powered analytics. Their platform enables lenders to more accurately assess borrower cashflow and affordability, already trusted by over 50 risk teams across the industry.
Backed by leading investors and operators from Coinbase, SoFi, Chime, and Plaid, the team is fully remote and operates on Pacific time. This is a unique opportunity to help build the future of financial access and equity from the ground up.
What You’ll Do
- Build foundational ML models and APIs that drive credit decisions for next-gen fintech products
- Own the end-to-end ML lifecycle: research, experimentation, data labeling, training, deployment, and iteration
- Collaborate with a world-class technical team passionate about financial inclusion and impact
What We’re Looking For
- Strong Python skills and experience with ML frameworks like Scikit-learn and XGBoost
- Full-stack ML mindset, from prototyping to production deployment
- Bonus: familiarity with AWS, Postgres, Snowflake, Kafka, or MLOps tools
Compensation
- Competitive base: $150 – $250K
- Generous equity in a high-growth, venture-backed company