1h ago
Machine Learning Engineer, Supportability
Toronto
full-timemidFinancial technology (FinTech)
Tech Stack
Description
You will design and build AI/ML models and systems that detect and action supportability violations in real-time, ensuring merchant compliance at scale. You'll collaborate with cross-functional teams to drive the expansion of Stripe's largest LLM-based system, integrating new capabilities through agentic approaches or supervised learning.
Requirements
- 2+ years industry experience building and shipping AI/ML systems in production
- Proficient with AI/ML libraries: PyTorch, TensorFlow, XGBoost, Spark
- Hands-on experience designing, training, and evaluating ML models
- Experience productionizing and deploying models at scale
- Proficiency in applying modern ML techniques and Generative AI to solve business problems
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 through agentic approaches or supervised learning
- Rapidly prototype new AI/ML-based approaches to achieve key business goals
- Integrate models into production systems ensuring scalability and reliability
- Collaborate with product and strategy partners to prioritize and implement new features
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