Machine Learning Engineer II (ROA + LTV ML)

Posted 6 Hours Ago
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Hiring Remotely in Canada
Remote
133K-183K Annually
Junior
Big Data • Fintech • Mobile • Payments • Financial Services
We create honest financial products that improve lives. Ready to make a difference?
The Role
Develop and scale production machine learning models for credit decisioning, including default prediction and approval decisions. Build training, decisioning, monitoring systems, data pipelines, features, and algorithms. Conduct research, develop prototypes, and collaborate with engineering, credit, and product teams to deliver machine learning products from inception through business impact.
Summary Generated by Built In

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.

As a Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready models that play a central role in our decision-making processes. Your contributions will be instrumental in shaping our financial landscape. If you have a strong interest in machine learning and enjoy challenging work, Affirm is the place for you!

What you'll do

  • Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives

  • Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems 

  • Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm

  • Implement and scale data pipelines, new features, and algorithms that are essential to our production models

  • Collaborate with the engineering, credit, and product teams to define requirements for new products


What we look for

  • 2+ years of experience as a machine learning engineer or PhD in a relevant field

  • Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk is a plus

  • Strong engineering skills in Python and data manipulation skills like SQL

  • Experience using large scale distributed systems like Spark or Ray 

  • Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow

  • Experience developing machine learning models at scale from inception to business impact

  • Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams

  • The ability to present technical concepts and results in an audience-appropriate way

  • Persistence, patience and a strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in Affirm!

Pay Grade - L
Equity Grade - 5
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 monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year: $133,000 - $183,000

Location - Remote Canada
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.

#LI-Remote

Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.

Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:

  • Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
  • Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
  • Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
  • Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.

We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.

For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Skills Required

  • 2+ years of experience as a machine learning engineer or a PhD in a relevant field
  • Proficiency in machine learning, including generalized linear models, gradient boosting, deep learning, and probabilistic calibration
  • Credit risk domain knowledge
  • Strong Python engineering skills
  • SQL and data manipulation skills
  • Experience with large-scale distributed systems such as Spark or Ray
  • Experience with scikit-learn, pandas, NumPy, XGBoost, and Kubeflow
  • Experience developing machine learning models at scale from inception to business impact
  • Excellent written and oral communication skills
  • Ability to drive cross-functional requirements with product and engineering teams
  • Ability to present technical concepts and results to an audience-appropriate level

What the Team is Saying

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Affirm Compensation & Benefits Highlights

  • Healthcare Strength — Health insurance is described as comprehensive, with fully paid medical, dental, and vision premiums and low copays in some plans. Mental-health programs are explicitly included as part of the global benefits offering.
  • Parental & Family Support — Parental leave is presented as 18 weeks for birth and non-birth parents with a 4-week full-pay return-to-work transition. Family-forming support such as fertility, egg freezing, adoption assistance, and a dedicated spending wallet is also offered.
  • Leave & Time Off Breadth — Time off includes flexible or unlimited PTO and sick time for many roles. The package also features 20 company-wide paid Away Days that add collective rest to the standard leave mix.

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2012

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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Affirm Offices

Remote Workspace

Employees work remotely.

Affirm is a remote-first company! Our employees can work anywhere in the U.S. but if an office is more your style, we have office locations in San Francisco, Chicago, New York City, and Pittsburgh.

Typical time on-site:
HQSan Francisco, CA
Spain
United Kingdom
Chicago, IL
New York, NY
Toronto, ON
Warsaw, PL
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