Machine Learning Engineer I
abnormalsecurity
Machine Learning Engineering, Intern
bree· Internship & Co-ops
About this role
About Bree
Bree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the developed world. Our first act is to become the cheapest and best provider of short-term credit to the 20 million people in Canada who live paycheck to paycheck.
500,000+ Canadians have already signed up with Bree and we believe we are just scratching the surface. We are at an exciting intersection of product market fit, explosive growth, and a clear path to becoming one of the most important FinTechs in Canada.
We are at 8-figures of annualized revenue, growing rapidly, profitable, and have had zero voluntary employee churn. We were part of Y Combinator's Summer 2021 batch and raised a $2M seed round shortly after.
About the Role
Our ideal Machine Learning Engineer has a good understanding of modern ML systems and deploying models at scale in production environments. You'll enjoy leveraging AI tools to iterate quickly on models, experiment with cutting-edge techniques, and deliver high-impact solutions efficiently and reliably. Read more about AI native engineering teams here.
We are open to an 8-month co-op term.
What You'll Do
Design, train, and deploy scalable machine learning models for critical FinTech applications, including credit risk assessment, fraud detection, and personalized financial recommendations, using frameworks like PyTorch and LightGBM.
Architect ML pipelines integrating with backend systems to process high-throughput data streams with low-latency inference for real-time decision-making.
Leverage AI tools to automate experimentation, hyperparameter tuning, and test-driven ML development, accelerating the delivery of robust, production-ready models.
Support the full ML lifecycle, including feature engineering, model evaluation, A/B testing, monitoring for drift, and seamless scaling to support explosive user growth while ensuring compliance with financial regulations.
Experiment with advanced techniques in deep learning and reinforcement learning to push the boundaries of what's possible in consumer finance.
What You'll Need
Professional experience in building and deploying production ML systems and handling imbalanced datasets in high-stakes domains like finance or e-commerce.
Good understanding of traditional ML systems and modern deep learning/reinforcement learning architectures, with a track record of applying them to real-world problems.
Competitive ML experience (e.g., top rankings in Kaggle, NeurIPS challenges, or open-source contributions) is a bonus, demonstrating your ability to innovate under constraints and deliver high-performance models.
Architectural thinking to solve ambiguous, data-driven problems in fast-paced settings, with experience scaling ML systems under explosive growth while maintaining accuracy, fairness, and explainability.
Exceptional collaboration and communication skills, including the ability to explain complex ML concepts to non-technical stakeholders, thriving in low-churn teams focused on excellence, ethical AI, and long-term impact.
Benefits
Compensation: $50-$65/hour, based on experience and interview performance
Offer Matching: We're open to matching competing offers
Perks: $250 monthly lunch stipend, bi-annual company retreat
Impact: Push to prod, with 10x the ownership and impact of typical roles
Growth: Mentorship programs and career training sessions
Path to Full-Time: Strong conversion opportunities for high performers
Frequently Asked Questions
What is the salary for the Machine Learning Engineering, Intern role at bree?
The listed salary for this Machine Learning Engineering, Intern position at bree is USD 50–65. This is a remote Intern role.
Is the Machine Learning Engineering, Intern job at bree remote?
Yes, this Machine Learning Engineering, Intern position at bree is remote, with team members based in Toronto. You can work from home or anywhere in the supported regions.
Is the Machine Learning Engineering, Intern role at bree full-time or part-time?
This is listed as a Intern position. It is posted as a Machine Learning Engineering, Intern role in the Internship & Co-ops department at bree.
Which team or department does the Machine Learning Engineering, Intern at bree belong to?
This Machine Learning Engineering, Intern position is part of the Internship & Co-ops department at bree. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Machine Learning Engineering, Intern position at bree?
Click the "Apply Now" button on this page. You will be redirected to bree's official application portal hosted on ashby where you can submit your application directly.
When was the Machine Learning Engineering, Intern job at bree posted?
This Machine Learning Engineering, Intern position at bree was posted on Jul 15, 2026. Apply as soon as possible — early applications are often reviewed first.
Machine Learning Engineering, Intern
bree · 💰 USD 50–65
You'll be redirected to bree's official application page on Ashby ATS.