stripe
Machine Learning Engineer, Capital Underwriting
About this role
Stripe Capital seeks an experienced Machine Learning Engineer to design and deploy ML models for automated business financing underwriting. You'll build scalable production systems that leverage business data to provide tailored lending opportunities while meeting financial and regulatory requirements.
What you'll do
- Design and develop state-of-the-art ML models for underwriting and portfolio management within risk and regulatory constraints
- Build systems to accelerate model deployment from idea to production
- Experiment with ML models using PyTorch, TensorFlow, and other frameworks to drive business goals
- Develop training and evaluation pipelines for offline and online environments
- Integrate and optimize ML models in production systems for scalability and reliability
- Collaborate with product, engineering, and risk teams on feature development and model improvements
What they're looking for
- Machine learning model design and training
- PyTorch and TensorFlow
- XGBoost and Spark
- Data pipeline orchestration and processing
- Model deployment and productionization
- Feature engineering
- Python or similar programming languages
- Deep learning (preferred)
Opens the official application on the employer’s site. No login required.
stripe
Stripe builds payment infrastructure and financial services platforms, offering APIs and tools that enable developers and businesses to process transactions, detect fraud, verify identity, and manage security at scale. The company is hiring Backend Engineers, Full Stack Engineers, ML Engineers, AI Engineers, and Security Engineers to develop core platform systems, payment intelligence, customer support infrastructure, and security data platforms.
- Website
- stripe.com