Take the lead as an Engineering Manager at Affirm, driving the ML Training & Serving team to enhance platform capabilities. This remote-first position combines technical leadership with team development.
In this pivotal role, you will guide a team of platform engineers, shaping the execution of affirm’s ML infrastructure roadmap. Collaborate closely with senior ICs and infrastructure partners on model training, deployment workflows, and GPU management. Your hands-on experience will ensure projects align with affirm's high-priority ML initiatives and operational health standards.
Key Responsibilities: - Define roadmap for ML training and serving functions - Lead and mentor a team of platform engineers effectively - Drive operational reliability, performance,



and developer experience - Adopt advanced ML infrastructure capabilities as needed - Collaborate with cross-functional teams for project success
Requirements: - 7+ years in software/machine learning engineering - 2+ years managing engineering teams successfully - Hands-on experience in production ML or distributed infrastructure - Solid grasp of ML data needs and quality standards - Proven track record delivering impactful engineering platforms
Lead the charge in enhancing ML platform capabilities while fostering team growth at Affirm.#J-18808-Ljbffr

📌 Engineering Manager For Ml Platform At Affirm Winnipeg
🏢 Affirm
📍 Winnipeg