Machine Learning Engineer, Supportability
Core
Designing, building, and deploying AI/ML models and systems to detect and action supportability violations in real-time, protecting Stripe's reputation with global financial partners.
Role type
Machine Learning Engineer (Supportability)
Builds
High-fidelity detection engines and AI/ML-powered systems for merchant compliance
Domain
Financial infrastructure / AI/ML
Deliverable
production ML models
Required skills
PyTorch, TensorFlow, XGBoost, Spark, model training and evaluation, production deployment at scale, data cleaning, Generative AI application
Preferred skills
Transformers and LLMs, Java or Ruby codebases, online experimentation (A/B testing, multi-armed bandits), model calibration
Technologies
PyTorch, TensorFlow, XGBoost, Spark, Transformers, LLMs
Responsibilities
Design state-of-the-art AI/ML models and large scale systems for detection and decisioning; Drive expansion of Stripe's largest LLM-based system; Rapidly prototype new AI/ML-based approaches; Develop processes to train and evaluate models in offline and online environments; Integrate models into production systems and ensure scalability and reliability; Collaborate with product and strategy partners to propose, prioritize, and implement new product features
Seniority
Mid-level, hands-on IC
