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Machine Learning Engineer

Bree - Canada | Remote

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026
Work mode
Remote From the posting source checked Jun 20, 2026
In-office days
0 days From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Company

Company stage
Seed From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Machine Learning Engineer Canada | Remote 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 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. ABOUT THE ROLE We're looking for a 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. 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

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