Machine Learning Engineer II (ROA + LTV ML)

Location: Remote Canada; candidates must reside in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan

Base pay: $133,000–$183,000 CAD per year

Company

Affirm develops transparent payment solutions that allow consumers to pay over time without hidden fees.

What you will do

• Develop production machine learning models that predict default likelihood and support credit approval or decline decisions.
• Partner with platform and product engineering to build model training, decisioning, and monitoring systems.
• Research and prototype new solutions for credit decisioning.
• Implement and scale data pipelines, features, and algorithms for production models.
• Collaborate with engineering, credit, and product teams to define requirements for new products.

Requirements

• At least 2 years of experience as a machine learning engineer or a relevant PhD.
• Strong machine learning knowledge, including generalized linear models, gradient boosting, deep learning, and probabilistic calibration.
• Strong Python engineering and SQL data manipulation skills.
• Experience with large-scale distributed systems such as Spark or Ray.
• Experience with scikit-learn, pandas, NumPy, XGBoost, Kubeflow, or similar open-source tools.
• Ability to develop machine learning models at scale, communicate technical concepts clearly, and drive cross-functional requirements.

Nice to have

• Domain knowledge in credit risk.

Culture & Benefits

• Remote-first work with flexibility within the country of employment.
• 100% subsidized medical, dental, and vision coverage for employees and dependents.
• Monthly technology, health, and wellness spending stipends.
• Flexible time off and generous holiday calendars.
• Employee stock purchase plan with discounted Affirm stock.
• In-person onboarding for new hires.

Hiring process

• Inclusive interviews with accommodations available for candidates with disabilities.