Machine Learning Engineer, Supportability
Core
Design, build, train, evaluate, deploy, and own AI/ML models and large-scale systems for real-time detection and decisioning of supportability violations in Stripe's financial ecosystem.
Role type
Senior IC machine learning engineer (supportability/compliance)
Builds
High-fidelity detection engines and LLM-based systems for merchant compliance
Domain
Financial technology / AI/ML
Deliverable
production ML models
Required skills
AI/ML model design and training, large-scale system architecture, LLM and agentic approaches, model evaluation and calibration, data cleaning for high-noise datasets, production deployment at scale, Generative AI application
Preferred skills
Transformers and LLM architectures, Java or Ruby codebase experience, online experimentation (A/B testing, multi-armed bandits), model calibration
Technologies
PyTorch, TensorFlow, XGBoost, Spark
Responsibilities
Design state-of-the-art AI/ML models for detection and decisioning, drive expansion of LLM-based systems, rapidly prototype AI/ML approaches, develop processes for offline and online model evaluation, integrate models into production systems, collaborate on product feature prioritization, explore cutting-edge AI/ML techniques
Seniority
Senior, hands-on IC
