Machine Learning Engineer

About the Company

Bree is a consumer finance platform building faster, simpler, and more affordable financial services for Canadians who often live paycheck to paycheck. We operate in a massive market that’s historically been underserved by traditional financial institutions.

Responsibilities

• Design, develop, and deploy end-to-end machine learning pipelines
• Implement MLOps best practices including CI/CD, model versioning, and monitoring
• Optimize ML models using feature engineering and hyperparameter tuning
• Work with structured and unstructured data using Pandas, NumPy, and SQL
• Collaborate with data engineers to develop high-performance data pipelines
• Deploy and manage models on cloud platforms using Docker and Kubernetes
• Maintain model performance through continuous monitoring and bias detection

Requirements

• Proficiency in Python
• Familiarity with Scikit-learn, LightGBM, and PyTorch
• Strong understanding of supervised and unsupervised learning algorithms
• Experience with MLOps tools like MLflow, Kubeflow, or SageMaker
• Hands-on experience with Pandas, NumPy, and SQL/NoSQL databases
• Knowledge of cloud-based ML deployment and infrastructure management
• Ability to implement real-time and batch inference pipelines

Benefits

• Top of the market compensation
• Comprehensive health, dental, and vision benefits
• $1,500 annual learning & home-office stipend
• $1,000 annual wellness stipend
• Monthly Lunch Stipend
• Commuter Benefits
• Paid Parental leave
• 20 annual PTO days + unlimited sick days
• Quarterly Team Gatherings