Staff Machine Learning Engineer, Financial Connections
Core
Design, build, train, evaluate, and deploy ML models to transform raw financial data into actionable signals for transaction categorization, risk scoring, and data enrichment.
Role type
Staff Machine Learning Engineer (Fintech Infrastructure)
Builds
High-quality, enriched bank data and intelligent systems for Stripe's Financial Connections platform
Domain
Fintech / Open Banking / Applied Machine Learning
Deliverable
production ML models
Required skills
ML system design and productionization, large-scale data pipeline orchestration, model training and evaluation, PyTorch, TensorFlow, XGBoost, Spark
Preferred skills
NLP, LLMs, text classification, adversarial/noisy-data handling, deep learning architectures (transformers), fintech domain expertise
Technologies
PyTorch, TensorFlow, XGBoost, Spark
Responsibilities
Design and build large-scale ML systems operating on diverse financial data; Develop automated pipelines for offline and online model training; Integrate models into production systems ensuring scalability; Mentor engineers and contribute to ML engineering culture
Seniority
Staff, hands-on IC with mentorship
