Machine Learning Engineer, Underwriting

<h2>About Bree</h2><p style="min-height:1.5em">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.</p><p style="min-height:1.5em">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.</p><p style="min-height:1.5em">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.</p><p style="min-height:1.5em"></p><h2>About the Role</h2><p style="min-height:1.5em">We’re looking for a<strong> </strong>Machine Learning Engineer to build and scale high-impact, world-class ML systems. 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.</p><p style="min-height:1.5em"></p><h2>What You'll Do</h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Design, develop, and deploy end-to-end machine learning pipelines, ensuring efficiency in training, validation, and inference.</p></li><li><p style="min-height:1.5em">Implement MLOps best practices, including CI/CD for ML models, model versioning, monitoring, and retraining strategies.</p></li><li><p style="min-height:1.5em">Optimize ML models using feature engineering, hyperparameter tuning, and scalable inference techniques.</p></li><li><p style="min-height:1.5em">Work with structured and unstructured data, leveraging Pandas, NumPy, and SQL for efficient data manipulation.</p></li><li><p style="min-height:1.5em">Apply machine learning design patterns to build modular, reusable, and production-ready models.</p></li><li><p style="min-height:1.5em">Collaborate with data engineers to develop high-performance data pipelines for training and inference.</p></li><li><p style="min-height:1.5em">Deploy and manage models on cloud platforms (AWS, GCP, Azure) with containerization and orchestration tools like Docker and Kubernetes.</p></li><li><p style="min-height:1.5em">Maintain model performance by implementing continuous monitoring, bias detection, and explainability techniques.</p></li></ul><p style="min-height:1.5em"></p><h2>What You'll Need</h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Proficiency in Python and familiarity with ML libraries like Scikit-learn, LightGBM, and PyTorch.</p></li><li><p style="min-height:1.5em">Strong understanding of machine learning algorithms, including supervised and unsupervised learning techniques.</p></li><li><p style="min-height:1.5em">Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker for tracking experiments and automating workflows.</p></li><li><p style="min-height:1.5em">Hands-on experience with data manipulation libraries (Pandas, NumPy) and databases (SQL, NoSQL).</p></li><li><p style="min-height:1.5em">Knowledge of cloud-based ML deployment and infrastructure management.</p></li><li><p style="min-height:1.5em">Ability to implement real-time and batch inference pipelines efficiently.</p></li><li><p style="min-height:1.5em">Strong analytical and problem-solving skills to translate business needs into scalable ML solutions.</p></li><li><p style="min-height:1.5em">Eagerness to work in a fast-paced environment and continuously refine ML processes for efficiency and accuracy.</p></li></ul><p style="min-height:1.5em"></p><h2><strong>Benefits:</strong></h2><p style="min-height:1.5em">💰Top of the market compensation for top performers</p><p style="min-height:1.5em">⚕️Comprehensive health, dental, and vision benefits plan</p><p style="min-height:1.5em">🖥 $1,500 annual learning & home-office stipend</p><p style="min-height:1.5em">🧘🏼 $1,000 annual wellness stipend</p><p style="min-height:1.5em">🍔 Monthly Lunch Stipend</p><p style="min-height:1.5em">🚗 Commuter Benefits</p><p style="min-height:1.5em">🚼Paid Parental leave</p><p style="min-height:1.5em">🏝20 annual PTO days + unlimited sick days</p><p style="min-height:1.5em">🚀 Quarterly Team Gatherings</p><p style="min-height:1.5em">☕ In Office Amenities</p>

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