Senior Engineering Manager, Machine Learning Platform

We are seeking a Senior Engineering Manager to lead our ML Training & Serving team. This is a senior technical leadership role with company-wide impact. You will directly lead a team of platform engineers, including senior technical leaders, and combine strong people leadership with deep ML infrastructure judgment. In close partnership with senior ICs, you will shape the platform’s strategy and technical direction.

• Own the technical strategy and roadmap for ML training & serving, covering large-scale model training, model deployment workflows, GPU infrastructure, and low-latency model serving at scale.
• Lead and grow a team of platform engineers while remaining deeply engaged in technical strategy and architectural trade-offs in close partnership with senior ICs.
• Continuously evolve ML training & serving infrastructure to stay ahead of the frontier — anticipating where AI and ML are heading and building the infrastructure that makes those capabilities possible at Affirm before they become urgent needs. This includes large-scale training and serving of transformer-based models, GPU compute, reinforcement learning, and whatever comes next.
• Partner with ML modeling, product, and infrastructure leadership to ensure ML training & serving infrastructure accelerates Affirm's most critical ML initiatives.
• Establish engineering excellence across the organization: reliability, observability, developer experience, and operational rigor.
• Recruit, develop, and retain world-class platform engineers.

• 10+ years of industry experience in software and/or machine learning engineering, with significant hands-on software engineering experience, including 4+ years managing engineering teams.
• Deep expertise in building and operating large-scale ML infrastructure, with substantial experience in one or more of model training systems, model serving, deployment workflows, or GPU infrastructure.
• Strong understanding of ML data needs — training datasets, data quality, reproducibility, evaluation data, and how data shapes model behavior and platform design.
• Fluency with modern ML: deep neural networks, transformer architectures, reinforcement learning, large-scale GPU training and serving.
• Strong systems thinking — comfortable reasoning from low-level infrastructure decisions to broad architectural trade-offs.
• Track record of building platforms that meaningfully accelerate the productivity and impact of ML teams.
• Proven track record of recruiting, developing, and retaining high-performing engineers, including coaching senior ICs and creating opportunities for them to expand their technical leadership.
• Experience navigating ambiguity and leading through organizational complexity.
• Bachelor's degree in a technical field or equivalent practical experience.

• Experience on the applied ML modeling side is a plus — understanding how models are built makes you a better platform builder.

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
• Remote-first company - the majority of roles are remote and you can work almost anywhere within the country of employment.
• Inclusive interview experience with accommodations for candidates with disabilities.