An early-stage, well-funded AI fintech startup is transforming the way credit risk teams make decisions with cutting-edge AI-powered cashflow analytics.
We’re looking for an ML Engineer who thrives at the intersection of modeling, engineering, and product. You’ll design and ship production-ready models, build APIs for real-time decisioning, and create the analytics layer that powers the next generation of fintech applications.
You’ll report directly to the Director of Engineering, with full ownership of impactful projects—from research and prototyping to production deployment.
What You’ll Do
Develop and scale ML models for affordability, risk, and predictive analytics
Build data pipelines and APIs that bring ML into production at scale
Collaborate with product, data, and engineering teams to ship customer-facing features
Experiment with different approaches, knowing when to use ML—and when not to
Drive innovation in model performance, monitoring, and reliability
Who You Are
Strong product mindset with a passion for solving real customer problems
Hands-on ML engineer comfortable going end-to-end (research → data pipelines → production)
Experienced in Python, modern ML frameworks, and distributed systems
High-quality standards but able to move fast and ship iteratively
Excited about working in a high-ownership, early-stage startup environment
This is a rare opportunity to join a mission-driven team led by a repeat founder with multiple successful exits.
