Become a key player in financial technology with Stripe as a Machine Learning Engineer. Drive innovation through ML models, enhancing product interactions for millions of businesses.

As a Machine Learning Engineer in Stripe's Applied ML team, you'll analyze opportunities, train and evaluate models, and deploy them in production. Your work will involve integrating ML into systems, collaborating on current features, and engaging with cutting-edge ML/AI developments. You will be part of a team focused on automating processes and improving user experiences.

Key Responsibilities:



• Analyze and propose ML opportunities for user interactions • Train and evaluate ML models for production deployment • Integrate ML models into existing systems for performance and reliability • Collaborate with product and strategy partners on feature development • Stay current with ML/AI advancements to drive innovations

Requirements: • Minimum 3 years of experience in production ML systems • Proven ability to develop streaming feature pipelines • Strong understanding of deploying ML models at scale • Experience in ambiguous problem-solving environments • Passion for ownership and project impact

Contribute your ML expertise to elevate customers' interactions with Stripe. #J-18808-Ljbffr

📌 Machine Learning Engineer at Stripe (Winnipeg)
🏢 Nubeero
📍 Winnipeg