Remote
Canada
$133K–$183K
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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.
On the Underwriting ML team, you’ll build and improve machine learning systems that make real-time transaction decisions, assessing the repayment risk and expected value of every Affirm checkout. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as user behavior and macroeconomic conditions evolve.
- You will develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data
- You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed.
- You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls.
- You will help productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness.
- You will instrument and monitor model and data health, and help define retraining/backtesting workflows
- You will collaborate across Engineering, Risk Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences.
- You have a total of 2+ years of experience as a machine learning engineer or a PhD in a relevant field.
- Strong Python skills and experience writing production-quality code.
- Experience building and evaluating models for classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost, or similar).
- Experience with a deep learning framework (PyTorch preferred).
- Experience working with distributed data processing or parallel compute frameworks (Spark preferred; Ray/Dask or similar).
- Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms).
- Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows.
- You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.
- You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
- Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
- You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
- This position requires either equivalent practical experience or a Bachelor’s degree in a related field
Pay Grade - L
Equity Grade - 6
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: $165,000 - $225,000
USA base pay range (all other U.S. states) per year: $146,000 - $206,000
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:
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.
USD 165,000 - 225,000
Annually
Health Insurance
Dental Insurance
Vision Insurance
Mental Health Benefits
Flexible Spending Account (FSA)
Life Insurance
Disability Insurance
Pet Insurance
Gender Affirming Care
Fitness Stipend
Wellness Programs
Employee Assistance Program
401(k) / Retirement Plan
401(k) Match
Equity / RSUs
Employee Stock Purchase Plan
PTO / Vacation
Paid Holidays
Company Shutdown Days
Sick Days
Home Office Stipend
Meal Stipend
Company Offsites / Retreats
Parental Leave
Adoption Leave
Fertility Benefits
Caregiver Policy
Learning & Development Budget
Mentorship Program
Conference Attendance
Volunteer Time Off
Employee Resource Groups
Employee Recognition Awards
Team Events & Social Budget
Affirm's job board currently lists remote roles in the United States, Canada, Poland, Spain, and the United Kingdom, with Canadian hiring excluding Quebec. Remote employees can live almost anywhere within their country of employment.
Yes. Affirm maintains dedicated offices in Chicago, New York City, San Francisco, and Toronto, plus shared workspaces in Seattle, Warsaw, Madrid, and London, all available on a voluntary basis for remote employees. The company also brings teams together in person through offsites, gatherings, and collaborative working sessions.
Affirm covers 100 percent of medical premiums at every plan level for employees and their dependents, and backs that with dedicated mental health programs. Birth and non-birth parents both get 18 weeks of paid leave followed by a 4-week return-to-work transition at full base pay, and an employee stock purchase plan lets you buy Affirm shares at a discount.
Applications run through Greenhouse, and Affirm is unusually open about how it screens: AI-powered tools may help compare your resume against role requirements, but the company states that all hiring decisions are made by humans and no candidate is automatically rejected by an AI system. Candidates can request accommodations or an alternative selection process by contacting the recruiting team.
Affirm calls its people Affirmers and looks for candidates who are motivated rather than intimidated by complex problems in consumer finance. The stated values favor transparency and accountability, summed up in principles like people come first, no fine print, and it's on us.
Performance Bonus
Profit Sharing
Pay Transparency
Relocation Assistance
Commuter Benefits
Bereavement Leave
Flexible Schedule
Defined Career Pathways
Charity Matching
