Posted 22 days ago
Machine Learning Engineer II (ROA + LTV ML)
@ Affirm
Remote in Canada
Overview
Affirm is hiring a Machine Learning Engineer II to build production credit decisioning models that predict default and drive approve or decline decisions. The role is remote in Canada for candidates in listed provinces, with pay of $133,000 to $183,000 per year and 100% subsidized medical coverage.
Pay:
$133,000–$183,000 a year
Responsibilities:
- Develop ML models predicting default and approval decisions
- Build model training, decisioning and monitoring systems with engineering teams
- Implement data pipelines, features and algorithms for production models
- Prototype new credit decisioning solutions
- Define requirements with credit and product teams
Requirements summary:
- 2+ years as a machine learning engineer or relevant PhD
- Proficiency in GLMs, gradient boosting, deep learning, calibration
- Strong Python and SQL skills
- Experience with Spark or Ray at scale
- Excellent written and oral communication
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2026-10-16
- First seen by our source
- 2026-10-16
- Source record updated
- 2026-10-30
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Data & analytics |
| Experience | 2+ years |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Perks mentioned | Generous paid time off, Flexible hours, Stock or equity, Employee discount, Home office allowance |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Affirm
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We create honest financial products that improve lives.
Full company description
At Affirm, we’re using today’s technology to bring significant disruptive innovation to the financial industry. We focus on improving the lives of consumers by delivering simple, honest and transparent financial products. We have roles across a variety of teams, including engineering, product, finance, operations, revenue, marketing, people and more. A note to applicants: Fake job and recruiting scams are on the rise. Affirm will never ask you to pay any upfront fees or send you any checks to purchase equipment during any part of the recruiting process. Affirm only uses legitimate company email address domains (either “@affirm.com” or "@us.greenhouse-mail.io”) to communicate with candidates via email. Affirm is also proud to be a remote-first company! Attracting great people starts by finding talent in different places. That's why we built remote work into the DNA of how we do business—but if an office space is more your style, we have offices in Chicago, New York City, Pittsburgh, San Francisco, Seattle, Toronto, Warsaw, Madrid and London. Not to mention we have comprehensive and award-winning benefits that were made for you. Interested in learning more? Check out our careers page and apply today! Visit affirm.com/careers for more information.
- LinkedIn followers
- 348,434
- People associated on LinkedIn
- 3,054
- Reported office locations
- San Francisco, California 94108, US
- New York, NY 10013, US
- Pittsburgh, Pennsylvania 15212, US
- Chicago, Illinois 60654, US
- Toronto, Ontario M5V 3H1, CA
- Madrid, ES
- Warsaw, PL
- London, GB
- Business categories
- Payments
- Lending
- FinTech
- Financial Services
- Other recorded names
- Affirm
- Specialties
- eCommerce
- Payments
- Installment Loans
- Millennials
- Financial Services
- Online Payments
- Retail
- Personal Finance
- FinTech
- Financial Technology
- and Financial Management
- Profile identifies a recruitment agency
- No
- Reported total investment
- 7,570,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
At Affirm, we’re using today’s technology to bring significant disruptive innovation to the financial industry. We focus on improving the lives of consumers by delivering simple, honest and transparent financial products. We have roles across a variety of teams, including engineering, product, finance, operations, revenue, marketing, people and more. A note to applicants: Fake job and recruiting scams are on the…
| Field | Value |
|---|---|
| Industry | Financial Services |
| Company size | 1,001-5,000 employees |
| Headquarters | San Francisco, California |
| Organization type | Public Company |
| Year founded | 2012 |
| Specialties | eCommercePaymentsInstallment LoansMillennialsFinancial ServicesOnline PaymentsRetailPersonal FinanceFinTechFinancial Technology |
| Open jobs on Jobsy | 80 |
| View page |
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 inAffirm 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 youOur 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.
Journal
Only you can see this. Kept on this device, and in your account when you sign in.