Mississauga, On Learning and development intern Jobs – 7 Openings This Week

Machine Learning Engineering, Intern
Bree —Toronto, ON
- $50–$70 an hour
- Full-time
- Hybrid work
- Financial services
- AI
- Internship / Co-op
Data Science/ Machine Learning Co-op (8 Month - Hybrid)
Oncoustics —Toronto, ON
- Full-time
- Research
HR CO-OP (Fall to Spring)
Sodales Solutions —Toronto, ON
- $40,000 a year
- Full-time
- Hybrid work
- Microsoft Excel
- Microsoft Outlook
- Research
Quick apply
Bilingual Change Management Intern- (9 Month Contract)
IAMGOLD —Toronto, ON
- $18.89–$31.22 an hour
- Contract
- English
- Training & development
- Business
People (HR) Internship
Labatt Brewing Company Limited —Toronto, ON
- $25 an hour
- Full-time
- Bilingual
- Engineering
- Human resources
14d
2027 Winter Student Opportunities RBC Borealis - Machine Learning Software Engineer, 4-8 Months
Royal Bank of Canada —Toronto, ON
- Full-time
- Computer Science
- Engineering
- Java

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Machine Learning Engineering, Intern

Bree -
Toronto, ON

Apply Now

Job details

Full-time | Internship / Co-op
$50–$70 an hour

Qualifications

Finance
PyTorch
Credit risk assessment
Deep learning
Fraud detection
Financial services
A/B testing
AI
Model evaluation
Communication skills
Pipeline

Full job 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.

More than 800,000 Canadians have already signed up with Bree and we believe we are just scratching the surface. We are in an exciting place where we have product market fit, explosive growth, and a clear path to becoming one of the most important FinTechs in Canada.

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-$70/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

Apply Now

Refine Your Search

learning and development intern jobs in mississauga, on

Machine Learning Engineering, Intern

Data Science/ Machine Learning Co-op (8 Month - Hybrid)

HR CO-OP (Fall to Spring)

Bilingual Change Management Intern- (9 Month Contract)

People (HR) Internship

2027 Winter Student Opportunities RBC Borealis - Machine Learning Software Engineer, 4-8 Months

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