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 innovationsRequirements:
Minimum 3 years of experience in production ML systems
Proven ability to develop streaming feature pipelines
Solid understanding of deploying ML models at scale
Experience in ambiguous problem-solving environments
Passion for ownership and project impactContribute your ML expertise to elevate customers' interactions with Stripe.#J-18808-Ljbffr

📌 Machine Learning Engineer At Stripe Toronto
🏢 Nubeero
📍 Toronto