Shape the future of payments with Stripe as an Applied Machine Learning Engineer. Focus on transforming customer interactions through advanced ML algorithm integration.

Join Stripe's Applied ML team to enhance user experiences and automate processes using machine learning. This role involves analyzing system performance, training ML models, and deploying them reliably into production. You'll participate in influencing ML architecture while driving innovative solutions in a team-oriented environment.

Key Responsibilities:



• Assess and improve system performance both offline and online • Develop and optimize pipelines for training ML models • Ensure reliability and scalability of ML production systems • Collaborate with teams to prioritize and implement new features • Engage with the latest ML developments and innovations

Requirements: • At least 3 years of experience delivering ML solutions in production • Experience with LLM integrations into user-facing products • Proficiency in developing streaming feature pipelines • Comfort with ambiguous project requirements • Strong project ownership and collaborative mindset

Use your expertise to significantly impact Stripe's mission with innovative ML solutions. #J-18808-Ljbffr

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