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 • Robust 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 (Hamilton)
🏢 Affirm
📍 Hamilton