Staff Machine Learning Engineer, Financial Connections
StripePayments company
New York, United StatesLead
Andreessen Horowitz
Sequoia Capital
Thrive Capital
Founders Fund
Peter Thiel
Elon Musk
Data & AINew
About the role
TL;DR
Build and deploy ML models for financial data at scale.
- •Stripe's Financial Connections is seeking Staff Machine Learning Engineers to build intelligent systems that provide financial data at scale.
- •You will design, train, and deploy ML models to improve the quality, accuracy, and usefulness of financial data across Stripe's ecosystem.
- •Key Responsibilities Design, build, train, evaluate, deploy, and own ML models in production.
- •Design and build large-scale ML systems operating on diverse financial data.
- •Experiment and iterate on ML models using tools like PyTorch, TensorFlow, and XGBoost.
- •Develop pipelines for training and evaluating models in offline and online environments.
- •Collaborate with product, data science, and engineering partners to identify ML opportunities.
- •Requirements 10+ 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.
- •Strong collaboration skills and ability to work across teams.
Required skills
PythonPyTorchTensorFlowSpark
Nice-to-have skills
NLPLLMsComputer Vision
Domain expertise
fintech
Tech stack
PythonPyTorchTensorFlowSpark