About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks tha…
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
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.
What You'll Do
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.
What We Look For
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 substanti
Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)
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