Specialty
Tech stack
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The role
The company is hiring a Machine Learning Engineer II to build credit decisioning models that predict default risk and drive approval decisions. The role is remote in Canada, open to residents of AB, BC, MB, NB, NL, NS, ON, PE and SK.
What you will do
- Develop ML models that predict default and drive approval decisions
- Build model training, decisioning and monitoring systems with platform teams
- Prototype new credit decisioning approaches
- Scale data pipelines and features for production models
What they ask for
- 2+ years as a machine learning engineer, or a PhD in a relevant field
- ML experience with GLMs, gradient boosting, deep learning and calibration
- Strong Python and SQL
- Experience with Spark or Ray
- Experience with scikit-learn, pandas, NumPy, XGBoost or Kubeflow
- Residence in an eligible Canadian province
What they offer
- Monthly stipends for health, wellness and tech
- Fully subsidised medical, dental and vision
- Eligible for equity rewards
This is our own short reading of the posting. The full description, and anything that has changed since, is on the employer's careers page behind the apply button.