The opportunity
Financial Connections is Stripe's open banking platform, enabling businesses to securely access consumer-permissioned financial data. Our platform connects to thousands of financial institutions, powering use cases from account verification to risk assessment to personal financial management.
What you'll do
Design, build, train, evaluate, deploy, and own ML models in production that: improve transaction categorization, risk scoring, and data enrichment across Financial Connections
Design and build large-scale ML systems that operate on diverse financial data from thousands of institutions
Experiment and iterate on ML models (using tools such as PyTorch, TensorFlow,: XGBoost) to achieve key business goals around data quality and accuracy
Develop pipelines and automated processes to train and evaluate models in offline and online environments
Integrate ML models into production systems and ensure their scalability and reliability
Collaborate with product, data science, and engineering partners across: Stripe to identify opportunities where ML can improve outcomes for merchants and consumers
What they're looking for
- + years of industry experience building and shipping ML systems in production
- Proficient with ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark
- Hands-on experience in designing, training, and evaluating machine learning models
- Hands-on experience in productionizing and deploying models at scale
- Hands-on experience in orchestrating data pipelines and efficiently leveraging large-scale datasets
- Strong collaboration skills and the ability to work across teams and contribute to peers' success
- Ability to thrive with a high level of autonomy and responsibility and an entrepreneurial mindset
- MS or PhD degree in ML/AI or a related field (e.g., math, physics, statistics, computer science)
