Bree

Chime for Canada, starting with cash advances

Machine Learning Engineer

$130K - $230K CADToronto, ON, CA / Toronto, Ontario, CA Job type Full-time Role Engineering, Machine learning Experience 3+ years Visa US citizen/visa only Connect directly with founders of the best YC-fundedstartups. Apply to role 7; Alexander Li Founder

About the role

About Bree

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 thats historically been underserved by traditional financial institutions, and were building products that help customers access short-term credit with a transparent, user-first experience. To date, 800,000+ Canadians have signed up for Breeand we believe were still early. Were at an exciting intersection of product-market fit, rapid growth, and a clear path to becoming one of the most important fintech companies in Canada. Were at 8-figures of annualized revenue, growing quickly, and profitable. We were part of Y Combinator (Summer 2021) and raised a $2M seed round shortly after.

About the Role

Were looking for a Machine Learning Engineer to build and scale high-impact, world-class ML systems. Youre passionate about deploying AI solutions, optimizing performance, and driving measurable results. Your work will power critical decisions and shape the future of our technology.

What You'll Do

• 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, leveraging Pandas, NumPy, and SQL for efficient data manipulation.
• Apply machine learning design patterns to build modular, reusable, and production-ready models.
• Collaborate with data engineers to develop high-performance data pipelines for training and inference.
• Deploy and manage models on cloud platforms (AWS, GCP, Azure) with containerization and orchestration tools like Docker and Kubernetes.
• Maintain model performance by implementing continuous monitoring, bias detection, and explainability techniques.

What You'll Need

• Proficiency in Python and familiarity with ML libraries like Scikit-learn, LightGBM, and PyTorch.
• Strong understanding of machine learning algorithms, including supervised and unsupervised learning techniques.
• Experience with MLOps tools such as MLflow, Kubeflow or SageMaker for tracking experiments and automating workflows.
• Hands-on experience with data manipulation libraries (Pandas,Numpy)and databases(SQL ,NoSQL).
• Knowledge of cloud-based ML deployment infrastructure management.
• Ability to implement real-time batch inference pipelines efficiently.
• Strong analytical problem-solving skills translate business needs into scalable ML solutions.
• Eagerness work fast-paced environment continuously refine ML processes efficiency accuracy.

Full-Time Employee Benefits Include:

💰Top market compensation top performers ⚕️Comprehensive health,dental vision benefits plan 🖥 $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 ☕ In Office Amenities