The Supportability Evaluation team acts as stewards of the financial ecosystem, protecting Stripe’s reputation with global financial partners by architecting highly precise, automated supportability controls
Job Summary
The Supportability Evaluation team acts as stewards of the financial ecosystem, protecting Stripe’s reputation with global financial partners by architecting highly precise, automated supportability controls.
As a Machine Learning Engineer in Supportability, you will be responsible for designing, building, training, evaluating, deploying, and owning AI/ML models in production.
We are looking for ML Engineers who are passionate about building AI/ML and AI systems that touch the lives of millions.
Matching Summary
The Supportability Evaluation team acts as stewards of the financial ecosystem, protecting Stripe’s reputation with global financial partners by architecting highly precise, automated supportability controls.
Skills & Requirements
Must-have
AI/ML libraries and frameworks
designing, training, evaluating models
productionizing and deploying models at scale
rigorously evaluating model performance
modern machine learning techniques
Generative AI models
Nice-to-have
ambiguity and initiative
bias towards action
collaborative environment
online experimentation
model calibration
Key Requirements
2+ years of industry experience
Proficient with PyTorch, TensorFlow, XGBoost, Spark
Knowledge of AI/ML algorithms and model architectures
Hands-on experience in productionizing models
Experience cleaning data and improving signal
Proficiency in applying modern ML and Generative AI