Manager leading the development of scalable software systems and data infrastructure at Minto. Responsible for engineering solutions and operational excellence for data platforms.
About the role
- Lead ML Platform engineering at Affirm to develop infrastructure for machine learning capabilities. Oversee engineering managers and anticipate AI trends for strategic growth.
Responsibilities
- Own the technical strategy and roadmap for ML Platform, covering real-time and batch feature computation, model training infrastructure, and model serving at scale.
- Lead and grow a team of engineering managers, while staying hands-on with the technical direction and maintaining close partnership with ICs.
- Continuously evolve the platform 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 the platform 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.
Requirements
- 12+ years of industry experience in software and/or machine learning engineering, with significant hands-on software engineering experience, including 4+ years managing engineering managers.
- Deep expertise in building and operating large-scale ML infrastructure — feature stores, model serving systems, training pipelines, or equivalent.
- Strong understanding of data — data pipelines, data quality, 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.
- Experience on the applied ML modeling side is a plus — understanding how models are built makes you a better platform builder.
- Experience navigating ambiguity and leading through organizational complexity.
- Bachelor's degree in a technical field or equivalent practical experience.
Benefits
- 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
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