Deep Learning Intern Jobs in Ontario (NOW HIRING)

Machine Learning Engineering, Intern Hot OpportunityData / MLInternship# Machine Learning Engineering, Internat Bree** Location**Toronto, OntarioHybrid** Details**Co-op · 8mo · $50-$65/hr** Posted**Jul 15, 2026Apply on company site →Direct apply link, refreshed by the daily generator.## About the RoleDesign, train, deploy scalable ML models## About BreeYC-backed FinTech disrupting consumer credit## Full Description**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 performersApply Now → #J-18808-Ljbffr