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Senior Director, Software Engineering; Machine Learning

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Affirm
Full Time position
Listed on 2026-02-06
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 340000 - 375000 USD Yearly USD 340000.00 375000.00 YEAR
Job Description & How to Apply Below
Position: Senior Director, Software Engineering (Machine Learning)

Overview

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. At Affirm, ML plays an outsized role in delivering on this mission, and we are seeking a Senior Director to lead centralized Machine Learning capability at Affirm.

What You’ll Do
  • Set the vision for Machine Learning and AI e world-class ML modelers, Platform and Software engineers to execute on that vision.
  • Take ownership of our core model development lifecycle and business outcomes across underwriting, fraud, servicing, and personalization.
  • Work closely with product and business leadership to champion AI adoption in both existing and new products.
  • Balance ML investments across traditional ML and transformer-based models.
  • Evolve ML platform to support increasing ML needs across Affirm with emphasis on training, tuning and serving AI models.
  • Run a robust, yet shortened ML development lifecycle, establishing a culture of experimentation and fast learning.
  • Collaborate with cross-functional partners outside engineering, including product, risk, servicing, legal and compliance.
What We Look For
  • 15+ years of relevant experience in Machine Learning, AI, or related technical domains
  • Experience leading centralized ML teams comprising ML modelers and ML platform engineers
  • Successful track record in delivering models that directly drive business outcomes and PnL
  • Comfortable working in matrix organizations and influencing across a wide range of leaders
  • Experience hiring, growing, and retaining talent
  • Keeps up with the evolving ML landscape — understands when to buy vs build, and what tools/techniques drive the most business value
Compensation and Benefits

Base Pay Grade – V;
Equity Grade – 21. Base pay ranges and eligibility are determined by location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents).

USA base pay range (CA, WA, NY, NJ, CT) per year: $340,000 - $375,000. USA base pay range (all other U.S. states) per year: $305,000 - $340,000.

Affirm is proud to be a remote-first company. Most roles are remote and you can work almost anywhere within the country. Some roles may be office-based due to responsibilities.

Benefits
  • Health care coverage – Affirm covers all premiums for all levels of coverage for you and your dependents
  • Flexible Spending Wallets – stipends for Technology, Food, Lifestyle needs, and family forming expenses
  • Time off – vacation and holidays to rest and recharge
  • ESPP – Employee stock purchase plan enabling you to buy Affirm shares at a discount

Affirm is committed to an inclusive interview experience for all, and will provide reasonable accommodations to candidates in need. [For U.S. positions that could be performed in Los Angeles or San Francisco], Affirm will consider qualified applicants with arrest and conviction records in accordance with local ordinances. By clicking "Submit Application," you acknowledge Affirm’s Global Candidate Privacy Notice and consent to the collection, processing, and storage of your personal information as described therein.

Seniority

level
  • Director
Employment type
  • Full-time
Job function
  • Engineering and Information Technology

Referrals increase your chances of interviewing at Affirm by 2x

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Position Requirements
10+ Years work experience
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