Machine Learning Engineer (Fully Remote)

Remote Canada
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!
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
Implement and scale data pipelines, new features, and algorithms that are essential to our production models
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 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
The ability to present technical concepts and results in an audience-appropriate way
Equity Grade - 5
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. (Location - Remote Canada
Remote-first with flexibility built in affirm is proud to be a remote-first company. 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. Health coverage at no cost: Flexible time off and generous holiday calendars help you rest when you need to.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.