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Manager, Machine Learning Engineering (Fraud)

Affirm
Remote - USUpdated 51d ago
Total compensation
$204k–$290k
Published total compensation range
Location
Remote - US
Remote eligibility
Employment
Full-time
Lead / Manager
Role family
Engineering
Fintech
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About the job

Company

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest.

Role

The Fraud Machine Learning team builds models that power critical decisions during the loan application process, protecting Affirm and its customers from fraud while maintaining a seamless user experience. As a manager, you will lead a team of ML engineers developing and improving models that detect and prevent abuse in a rapidly evolving, adversarial environment.

Responsibilities

  • Set the technical and modeling strategy for fraud detection, aligning team efforts with key business outcomes such as fraud loss reduction, approval rates, and customer experience.
  • Lead a team of machine learning engineers to design, build, and iterate on high-impact fraud models across the full ML lifecycle, from experimentation to production.
  • Drive the evolution of modeling approaches, including the adoption of representation learning, transformer-based methods, and other advanced techniques.
  • Partner cross-functionally with Product, Fraud Analytics, Risk, and Engineering to define solutions and ensure models are integrated into decisioning systems.
  • Develop talent by coaching engineers, providing feedback, and fostering a high-performing team culture.

Qualifications

  • Bachelor’s in a technical field with 8+ years of industry experience, including 3+ years managing engineers.
  • Experience with modern ML approaches, including representation learning, deep learning, or transformer-based models, as well as traditional methods such as gradient-boosted trees.
  • Proven ability to lead teams delivering end-to-end ML solutions in production environments.
  • Strong engineering fundamentals and experience with scalable systems and data pipelines.
  • Track record of effective cross-functional collaboration.

Compensation

USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000; USA base pay range (all other U.S. states) per year: $204,000 - $264,000. Total compensation may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits.

Benefits

Affirm covers all premiums for health care coverage for you and your dependents, including dental and vision. Flexible Spending Wallets provide stipends for Technology, Food, Lifestyle, and family forming expenses. Time off includes competitive vacation and holiday schedules. ESPP allows you to buy shares at a discount.

Application

Apply via the Greenhouse link.

Skills & tags

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