Uncubed

Engineering Manager - Machine Learning

Affirm, San Francisco, CA

Affirm: Delivering Honest Financial Products


Affirm is a data-driven financial technology company. Machine learning is core to our decision making processes, from validating identities and detecting fraud, to credit underwriting and servicing. We seek to revolutionize the credit system by building higher quality alternatives to incumbent systems and methods.

We are looking for a staff level software engineer to lead our platform efforts in machine learning. You will be a technical leader within the engineering team, leading a team of engineers in developing an integrated system to support offline research, feature engineering, and model development, as well as robust and reliable execution of online decision systems. As a member of the Risk Engineering team, you will work closely with data scientists in our Risk and Analytics organization to build, test, deploy, and maintain software that enables them to work more efficiently and effectively.

What you will do

  • Designing and developing machine learning systems that support our identity verification, fraud detection, credit underwriting, and servicing functions
  • Testing and validation systems for data pipelines, business logic, and decision models
  • Research and develop tools enabling our data scientists to efficiently and safely develop, test, and deploy experimental and production signals, models, and policies
  • Effectively planning, coordinating, and communicating within the team, and cross-functionally

What We Look For

  • Passion and drive to change consumer banking for the better
  • 7+ years industry experience
  • Strong proficiency and industry experience building and leading the development of production-quality machine learning systems
  • Solid engineering and software development skills - ability to write, test, deploy, and maintain high-quality production code
  • Deep understanding of models, feature engineering, feature selection, and other applied ML issues
  • Experience in Python, or other dynamically typed language, is a plus
  • Engineering management experience is a plus
  • Finance and credit experience is a plus
ABOUT AFFIRM
At Affirm we are using technology to re-imagine and re-build core parts of financial infrastructure to enable friendlier and more transparent financial products and services that improve lives.

We believe the financial industry is fundamentally broken. Not only is the core infrastructure built with technology from the 1970s, but there are a dwindling number of people who say "I trust my bank to look out for me". It doesn’t have to be this way, and it’s our mission to fix this problem.

We are based in San Francisco; founded by Max Levchin (founding CTO PayPal), Jeff Kaditz (CDO DeNA/ngmoco), and Nathan Gettings (founding CTO of Palantir); and building a team of exceptionally talented people to join us on our mission.

About Affirm

Today’s shoppers are more averse than ever to traditional credit—due to decades of compounding interest, hidden fees, and unclear terms. At Affirm, we’re reinventing credit to make it more honest and friendly. Great for Customers We give customers the flexibility to pay over time for their most important purchases, on a schedule that fits their budget. Affirm financing is quick, simple, and transparent—there are no gimmicks like deferred interest, compounding interest, or late fees, so what shoppers see at checkout is exactly what they’ll pay. Great for Businesses We stick to the same principles of honesty and simplicity with both consumers and our retail partners. Our integration is seamless, and we provide dedicated support to help you make the most our our partnership. We want to make it as easy as possible for you to realize the “Affirm boost”—increased AOV, conversion, and customer loyalty.

Want to learn more about Affirm? Visit Affirm's website.