Senior Staff Machine Learning Engineer, (ML Underwriting)

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.

Join the team as a Senior Staff Machine Learning Engineer and become a pivotal part of our innovative ML team. Our mission is to revolutionize financial services with transparency and inclusivity at its core. We utilize advanced machine learning techniques to ensure responsible and accessible financial products.

What You'll Do

• Define and drive multi‑year, multi‑team technical strategy for machine learning across the company, ensuring alignment with priorities and influencing partner roadmaps.
• Lead design, implementation, and scaling of advanced ML systems, setting architectural direction for complex, cross‑functional initiatives.
• Partner deeply with ML Platform, product, engineering, and risk leaders to shape long‑term modeling capabilities and guide infrastructure evolution needed for next‑generation ML methods.
• Provide broad technical leadership across the ML organization, mentoring senior engineers, elevating design and code quality, and spreading expertise through documentation, talks, and cross‑org guidance.
• Drive clarity and alignment on ambiguous, high‑stakes technical decisions, resolving cross‑team tensions, balancing competing priorities, and exercising judgment optimized for the engineering organization.
• Champion operational and system excellence, owning health, availability, and evolution of critical ML systems, ensuring robust testing, monitoring, and reliability practices.

What We Look For

Pay Grade – R. Equity Grade – 9. Base pay range : $206,000 – $256,000 per year. Additional benefits include monthly stipends for health, wellness and tech spending, and 100% subsidized medical coverage, dental and vision for you and your dependents. Employees may be eligible for equity rewards offered by the parent company.

Benefits

Affirm is committed to providing an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations during the hiring process.

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