Join Stripe to advance financial data through innovative machine learning engineering. As a Machine Learning Engineer, you'll design impactful systems that enhance data reliability within our Financial Connections platform. In this role, you'll employ your extensive experience to build and optimize ML models that serve thousands of financial institutions.

Collaborate with diverse teams to enrich financial data quality and implement production-ready models using technologies like TensorFlow and PyTorch. This position offers both in-office and work from home options, fostering a versatile work environment. Key Responsibilities:
Build and train ML models for financial data categorization
Create systems to operate on diverse financial information




Conduct experiments to enhance ML effectiveness
Optimize data processes through automated pipelines
Collaborate closely with various Stripe teams Requirements:
Minimum 10 years of ML systems experience
Skilled with frameworks such as PyTorch and XGBoost
Experience in deploying models at large scale
Cooperative skills across multiple teams
Ability to work independently with initiative Shape the future of financial technologies at Stripe with your machine learning expertise.

📌 Machine Learning Engineer, Financial Data At Stripe Toronto
🏢 Stripe
📍 Toronto