Staff Machine Learning Engineer
Core
Define technical direction for ML at a consumer fintech, owning the ML platform and leading high-impact modeling for credit underwriting, risk, and personalization.
Role type
Staff Machine Learning Engineer (hands-on IC with company-level impact)
Builds
End-to-end ML platform (feature stores, pipelines, model registry, serving) and flagship credit/risk models
Domain
Consumer Fintech / Credit Underwriting / Risk Management
Deliverable
production ML models | infrastructure
Required skills
Python, system design, full ML lifecycle (feature engineering, training, evaluation, serving, monitoring), MLOps, cloud infrastructure (AWS/GCP), containerization (Docker/Kubernetes), gradient-boosted trees, classical ML for tabular data, model governance
Preferred skills
Consumer lending/credit underwriting experience, Ruby/Rails backend experience, deep learning frameworks (PyTorch)
Technologies
Python, AWS, GCP, Docker, Kubernetes, PyTorch
Responsibilities
Define multi-quarter ML vision and roadmap; architect and evolve the ML platform; lead flagship modeling work (cash advance, underwriting); establish model risk and governance standards; set experimentation and measurement standards; mentor senior engineers and shape team structure
Seniority
Staff, hands-on IC with strategic scope