Engineering Manager, Machine Learning Platform

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Affirm

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

💳 Fintech

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2021-01

Fintech • B2C • eCommerce

Affirm is a financial technology company that offers a 'Buy Now, Pay Later' service, allowing consumers to make purchases and pay for them over time with flexible payment plans. Affirm eliminates hidden fees and compound interest, providing clear terms and conditions for its users. The company also offers the Affirm Card, a debit card that allows users to request to pay over time for larger purchases or pay in full for smaller ones. Affirm partners with various retailers across multiple categories, including electronics, apparel, and travel, providing customers with the convenience of paying over time at checkout both online and in physical stores. Affirm's services are integrated with Apple Pay, enabling customers to make payments seamlessly from their iPhone or iPad.

📋 Description

• Partner with senior ICs and engineering leadership to define and execute the roadmap for ML training & serving, spanning 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 ensure the platform supports Affirm’s highest-priority ML initiatives. • Recruit, develop, and retain high-performing platform engineers.

🎯 Requirements

• 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 infrastructure, with hands-on experience in at least one of model training, model serving, deployment workflows, or GPU infrastructure. • Solid understanding of ML data needs, including training datasets, data quality, reproducibility, and evaluation data. • Familiarity with modern ML workloads, such as deep learning, transformer architectures, and large-scale training or serving. • Strong systems thinking and the ability to partner with senior ICs on architectural trade-offs. • Track record of delivering platforms or infrastructure that improve the productivity and impact of engineering or ML teams. • Experience recruiting, coaching, and developing engineers across career stages. • Effective cross-functional collaboration and the ability to lead through ambiguity. • Experience with applied ML modeling is a plus. • 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