- 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
- 6+ years of experience as a machine learning engineer. Relevant PhD can count for up to 2 YOE
- Experience developing machine learning models at scale from inception to business impact
- 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, PyTorch, Kubeflow
- Experience with Kubernetes, Docker, and Airflow is a plus
- Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
- Persistence, patience and a strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in Affirm
Senior Machine Learning Engineer, ML - Vancouver, British Columbia, Canada - Affirm
Description
Join the Affirm team as a Senior Machine Learning Engineer and contribute to the success of our ML Underwriting team. We are the driving force behind Affirm's core value proposition, leveraging cutting-edge machine learning to assess creditworthiness throughout the life cycle of loan applications.
As a Senior 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
What we look for
Pay Grade - CAN30
Employees new to Affirm or promoted into a new role, typically begin in the min to mid range.
CAN base pay range per year:
Min: $123,200
Mid: $154,000
Max: $184,800
Location - Remote CAN
#LI-Remote