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Salary: USD 236,000 - 325,000 / annual
Affirm is seeking a Senior Engineering Manager to lead the ML Training & Serving platform team. This is a senior technical leadership role with company-wide impact, combining strong people management with deep ML infrastructure expertise.
You will directly manage a team of platform engineers, including senior technical leaders, and partner closely with senior individual contributors to shape the platform's technical strategy and direction.
Key responsibilities include:
- Owning the technical strategy and roadmap for ML training and serving infrastructure, covering large-scale model training, deployment workflows, GPU infrastructure, and low-latency model serving at scale
- Leading and growing a team of platform engineers while remaining deeply engaged in technical strategy and architectural decisions
- Evolving ML infrastructure to anticipate future AI/ML capabilities—including large-scale transformer training, GPU compute optimization, reinforcement learning, and emerging techniques
- Partnering with ML modeling, product, and infrastructure leadership to ensure the platform accelerates Affirm's critical ML initiatives
- Establishing engineering excellence across reliability, observability, developer experience, and operational rigor
- Recruiting, developing, and retaining world-class platform engineers
Required qualifications:
- 10+ years of software and/or machine learning engineering experience, with significant hands-on software engineering background and 4+ years managing engineering teams
- Deep expertise building and operating large-scale ML infrastructure (model training systems, model serving, deployment workflows, or GPU infrastructure)
- Strong understanding of ML data needs: training datasets, data quality, reproducibility, and evaluation data
- Fluency with modern ML: deep neural networks, transformers, reinforcement learning, large-scale GPU training and serving
- Strong systems thinking and ability to reason from low-level infrastructure to broad architectural trade-offs
- Proven track record building platforms that accelerate ML team productivity
- Experience recruiting, developing, and retaining high-performing engineers, including coaching senior ICs
- Ability to navigate ambiguity and lead through organizational complexity
- Bachelor's degree in a technical field or equivalent practical experience
Affirm is a remote-first company offering competitive benefits including 100% subsidized medical, dental, and vision coverage, flexible spending wallets for technology and lifestyle needs, and equity compensation.
