Machine Learning Engineer, Underwriting

About the role

Bree is a consumer finance platform serving Canadians who often live paycheck to paycheck, helping them access short-term credit through a transparent, user-first experience. It is looking for a Machine Learning Engineer to build and scale high-impact ML systems that power critical decisions, with a focus on deploying AI solutions and optimizing performance.

Key responsibilities

• Design, develop and deploy end-to-end machine learning pipelines, ensuring efficiency in training, validation and inference.
• Implement MLOps best practices, including CI/CD for ML models, model versioning, monitoring and retraining strategies.
• Optimize ML models using feature engineering, hyperparameter tuning and scalable inference techniques.
• Work with structured and unstructured data using Pandas, NumPy and SQL.
• Apply machine learning design patterns to build modular, reusable, production-ready models.
• Collaborate with data engineers on high-performance data pipelines for training and inference.
• Deploy and manage models on cloud platforms (AWS, GCP, Azure) with Docker and Kubernetes.
• Maintain model performance through continuous monitoring, bias detection and explainability techniques.

Required profile

• Strong understanding of machine learning algorithms, including supervised and unsupervised learning.
• Ability to implement real-time and batch inference pipelines efficiently.
• Strong analytical and problem-solving skills, able to turn business needs into scalable ML solutions.
• Eagerness to work in a fast-paced environment and continuously improve ML processes.

Required skills

• Python, with familiarity with Scikit-learn, LightGBM and PyTorch.
• MLOps tools such as MLflow, Kubeflow or SageMaker.
• Pandas, NumPy, SQL and NoSQL.
• Cloud-based ML deployment and infrastructure management.

What we offer

• Competitive compensation for top performers.
• Health, dental and vision coverage.
• $1,500 one-time setup plus $500 per year for learning and home-office, and a $1,500 annual wellness stipend.
• Free daily lunch in the office and remote-first work during winter.
• Commuter benefits, paid parental leave, 20 annual PTO days plus unlimited sick days, quarterly team gatherings and in-office amenities.