New RJRP now shows Market-Observed Roles alongside verified postings — scored by our Hiring Activity algorithm. How it works →
🔍
Market-Observed Role 🔍 Observed Very Active (80-100)
This role was detected through Affirm's hiring system and hasn't been verified directly by the employer. Our algorithm scored it as Very Active (80-100) based on freshness, specificity, and company patterns. What does this mean? →

Manager, Machine Learning Engineering (Underwriting)

Affirm
🔍 Observed
84
Hiring Activity Score
Very Active (80-100)
  • Base score
  • Posted 1 days ago
  • has location, quality description (5648 chars)
  • 131 new listings in 30d (×0.98 age 1d)
  • Tier 1 reputable (Affirm) ×0.98 age 1d
  • Direct ATS (greenhouse)
How the Hiring Activity Score works →
Remote Canada First seen 1 day, 4 hours ago Last seen 4 hours, 27 minutes ago Greenhouse
Apply on Greenhouse Search Google for This Role

ATS links often expire — Google search finds the latest posting

Job Description

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.

Join Affirm as a Machine Learning Engineering Manager and become a pivotal part of our innovative underwriting machine learning group. Specifically, you will manage a team of ML engineers that builds our economic decisioning engine, using novel ML techniques and rich representations of data to underwrite and optimize applications based on expected returns, lifetime value, and predicted conversion. 

In this role, you will help shape the future of machine learning at Affirm. You’ll partner with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions that drive critical capabilities across the company. You will mentor engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy. 

 

What you’ll do

  • Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects. 

  • Act as a force-multiplier through your definition and advocacy of technical solutions and operational processes. 

  • Collaborate across teams in the product development lifecycle by partnering with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. 

  • Develop talent by providing feedback and guidance, and leading by example. 

What We Look For

  • Bachelors in a technical field with 8+ years of industry experience, including 3+ years managing engineers

  • Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML. 

  • Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture

  • You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.

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

Pay Grade - P

Equity Grade - 7

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: $178,000 - $228,000

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: 

  • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents 
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
  • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Job Information
  • Company:
    Affirm
  • Location:
    Remote Canada
  • Job Type:
    Full-Time
  • Work Location:
    Remote
  • Experience Level:
    Mid
  • Source:
    Greenhouse
  • Status:
    Active
Activity Score
84 /100
Very Active (84)

Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →

+
🔍

We now show two types of job listings

Same commitment to real jobs. More opportunities for you. Here's how it works.

✓ Verified Employer-Verified Posts

These jobs were posted directly to RJRP by the employer. The company has been verified through our multi-step process. This is our gold standard — the employer is real, the job is real, and you can apply with confidence.

✓ 100% employer verified
🔍 Observed Market-Observed Roles

These roles were detected through employer hiring systems like Workday. They haven't been verified by the employer directly, so we score each one using our Hiring Activity Score — an algorithm that analyzes freshness, specificity, company hiring patterns, and more to estimate whether the role is actively being filled.

📊 Only high-scoring listings are shown

Our promise hasn't changed. We will never show you a listing we can't stand behind. Market-observed roles must pass our scoring threshold before they appear on RJRP. Anything that looks like a ghost job, a talent pipeline, or a dead listing gets filtered out — you'll never see it.