Affirm is reinventing credit to be more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. We are seeking an Engineering Manager to lead our ML Training & Serving team. You will directly manage a team of platform engineers and combine strong people leadership with deep technical judgment in ML infrastructure, collaborating with senior ICs and partners across Machine Learning and Infrastructure to shape the team's roadmap and ensure the platform reliably supports Affirm's ML priorities.
Affirm is reinventing credit to be more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. We are seeking an Engineering Manager to lead our ML Training & Serving team. You will directly manage a team of platform engineers and combine strong people leadership with deep technical judgment in ML infrastructure, collaborating with senior ICs and partners across Machine Learning and Infrastructure to shape the team's roadmap and ensure the platform reliably supports Affirm's ML priorities.
What you'll do: - Define and execute the roadmap for ML training and serving, including 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 support 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 in
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What you'll do: - Define and execute the roadmap for ML training and serving, including 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 support 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 in
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Based on: Engineering Manager, Machine Learning Platform
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