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.
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📌 Engineering Manager for ML Platform at Affirm (Ontario)
🏢 Affirm
📍 Ontario