Bree
Machine Learning Engineer
Canada
Sponsorship not specifiedDetected 112 days ago
PythonAlgorithmsSQLNoSQLAWSGCPAzureCloud PlatformsDockerCI/CDMachine Learningscikit-learnPandasNumPyData EngineeringMLOpsProblem Solving
About the role
- You're passionate about deploying AI solutions, optimizing performance, and driving measurable results.
- Your work will power critical decisions and shape the future of our technology.
Responsibilities
- 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.
- 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.
- Ability to implement real-time and batch inference pipelines efficiently.
Requirements
- Proficiency in Python and familiarity with ML libraries like Scikit-learn, LightGBM, and PyTorch.
- 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 and infrastructure management.
Compensation
- 💰Top of the market compensation for top performers
Benefits
- ⚕️Comprehensive health, dental, and 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
- Design, develop, and deploy end-to-end machine learning pipelines, ensuring efficiency in training, validation, and inference.
- Apply machine learning design patterns to build modular, reusable, and production-ready models.
- Strong understanding of machine learning algorithms, including supervised and unsupervised learning techniques.
Company info
- 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, and we're building products that help customers access short-term credit with a transparent, user-first experience.
- To date, 800,000+ Canadians have signed up for Bree-and we believe we're still early.
- We're 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.
- We're 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.
This listing is sourced directly from Bree's careers page and normalized into a canonical job model.