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Machine Learning Engineer, Underwriting

Bree· Machine Learning
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RemoteCA$180k - CA$250k + bonusFull-timePosted 5mo ago

About the role

Machine Learning Engineer to design, deploy, and scale ML systems powering Bree’s underwriting decisions, with a focus on production-ready models, MLOps, and measurable impact.

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, 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.

Qualifications

  • 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 and infrastructure management.
  • Ability to implement real-time and batch inference pipelines efficiently.
  • Strong analytical and problem-solving skills to translate business needs into scalable ML solutions.
  • Eagerness to work in a fast-paced environment and continuously refine ML processes for efficiency and accuracy.

Skills

Required:PythonScikit-learnMLOpsCloud platformsPandas & NumPySQL & NoSQL
Nice to have:LightGBMPyTorchDocker & Kubernetes

Benefits

  • Top of the market compensation for top performers
  • 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
  • Quarterly Team Gatherings
  • In Office Amenities
Last updated Sep 9, 2026. Interested? Apply on the company site.
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About Bree

Chime for Canada, starting with cash advances

Bree is building a challenger bank for the 11 million Canadians living paycheck to paycheck, starting with interest-free cash advances. We make money through tips and an optional, same-day express fee. By solving our customers' most urgent problem—illiquidity between paychecks —our cash advance business is a cheap, but profitable and repeatable hook that builds distribution for a broader challenger bank. This represents a $9 billion revenue opportunity in Canada.

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