As a Machine Learning Engineer in Supportability, you will be responsible for designing, building, training, evaluating, deploying, and owning AI/ML models in production.
Requirements
- Design state-of-the-art AI/ML models and large scale systems for detection and decisioning for Stripe products based onAI/ML principles, domain knowledge, and engineering constraints
- Drive the expansion of Stripe's largest LLM-based system, scaling its usage and integrating new capabilities through agentic approaches or supervised learning.
- Rapidly prototype new AI/ML-based approaches to achieve key business goals.
- Develop processes to train and evaluate models in offline and online environments
- Integrate models into production systems and ensure their scalability and reliability
- Collaborate with product and strategy partners to propose, prioritize, and implement new product features
- Engage with the latest developments in AI/ML and take calculated risks in transforming innovative ideas into productionized solutions
- Explore cutting-edge AI/ML techniques and evaluate their potential to solve business problems
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship