Manager Machine Learning Engineering

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.

In this role you will define the technical and modeling strategy for fraud detection guiding the team across the full machine learning lifecycle from feature development and experimentation to production deployment and monitoring. You will partner closely with Product Fraud Analytics Risk and Platform teams to ensure high-quality models are effectively integrated into decisioning systems. You will also help drive the evolution of modeling approaches at Affirm including the adoption of representation learning and transformer-based techniques to better capture complex behavioral patterns.

What you’ll do

• 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 for modeling complex behavioral data

• Partner cross-functionally with Product Fraud Analytics Risk and Engineering to define solutions evaluate trade-offs and ensure models are effectively integrated into decisioning systems

• Develop talent by coaching engineers providing feedback and fostering a high-performing team culture grounded in technical excellence and ownership

What we look for

• 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 including experimentation evaluation and model iteration in production

• Strong engineering fundamentals and experience working with scalable systems and data pipelines

• Track record of effective cross-functional collaboration with product analytics and engineering partners

• Ability to operate in ambiguous fast-evolving environments and drive clarity prioritization and execution

• This position requires either equivalent practical experience or a Bachelor’s degree in a related field.

Pay Grade - P
Equity Grade - 13
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors including location experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards monthly 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: $225000 - $275000
USA base pay range (all other U.S. states) per year: $200000 - $250000
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What We Do

At Affirm we help people say yes to the things that matter with flexible transparent ways to pay over time. No hidden fees no compound interest and no fine print—just a smarter way to spend.

Why Work With Us

Who is an Affirmer? /noun/ Someone who believes finance shouldn’t be complicated. We come from a diverse set of backgrounds and we’re driven by the desire to improve lives through honest financial products. We define success by challenging one another to bring our best ideas to every single project—and we have fun while doing it.

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