Engineering Manager, Machine Learning Platform

What You'll Do

• Partner with senior ICs and engineering leadership to define and execute the roadmap for ML training & serving, spanning model training, deployment workflows, GPU infrastructure, and low-latency model serving.
• Lead, coach, and grow a team of platform engineers while staying closely engaged in technical decisions and execution.
• Drive delivery and operational health for the team’s infrastructure, balancing reliability, developer experience, performance, and cost.
• Evaluate and adopt modern ML infrastructure capabilities as Affirm’s needs evolve, including transformer-based workloads and GPU compute.
• Collaborate with ML modeling, product, and infrastructure teams to ensure the platform supports Affirm’s highest-priority ML initiatives.
• Recruit, develop, and retain high-performing platform engineers.

What We Look For

• 7+ years of industry experience in software and/or machine learning engineering, including 2+ years managing engineers and meaningful hands-on software engineering experience.
• Strong experience building and operating production ML or distributed systems infrastructure, with hands-on experience in at least one of model training, model serving, deployment workflows, or GPU infrastructure.
• Solid understanding of ML data needs, including training datasets, data quality, reproducibility, and evaluation data.
• Familiarity with modern ML workloads, such as deep learning, transformer architectures, and large-scale training or serving.
• Strong systems thinking and the ability to partner with senior ICs on architectural trade-offs.
• Track record of delivering platforms or infrastructure that improve the productivity and impact of engineering or ML teams.
• Experience recruiting, coaching, and developing engineers across career stages.
• Effective cross-functional collaboration and the ability to lead through ambiguity.
• Experience with applied ML modeling is a plus.
• Bachelor’s degree in a technical field or equivalent practical experience.