AI Engineer Co-op
Launch Your AI Engineering Career!
Join our team and gain hands-on experience building intelligent systems and scalable machine learning infrastructure. You’ll learn the fundamentals of AI model development, deployment, and monitoring — while contributing to real-world projects that bring machine learning to life at League. This co-op is your chance to develop a strong foundation in a rapidly evolving field at the intersection of data, software, and intelligence.
What You’ll Work On
You’ll collaborate with our AI and data teams to:
- Design, build, and optimize machine learning pipelines for training and inference
- Work with large-scale datasets to improve data quality, feature engineering, and model performance
- Experiment with LLMs (Large Language Models), NLP, and other applied AI techniques
- Contribute to deploying AI services in production with monitoring, scalability, and reliability in mind
- Support model evaluation, fine-tuning, and documentation for AI-powered systems
Security-related Responsibilities:
- Compliance with Information Security Policies
- Compliance with League’s secure coding practice
- Responsibility and accountability for executing League's policies and procedures
- Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations
Technologies You’ll Learn and Use
Some of the technologies and tools we work with include:
- Languages & Frameworks: Python, SQL, PyTorch, TensorFlow, scikit-learn
- Cloud & Infrastructure: GCP (Vertex AI, BigQuery), Airflow, Terraform
- Monitoring & Visualization: Looker, Weights & Biases, MLflow
Your Experience So Far Might Include
- Exposure to AI, data science, or machine learning projects
- Hands-on software development experience (Python preferred)
- Familiarity with cloud-based data or ML platforms
- Previous engineering co-op or internship experience
As part of your application, please record a 1-minute video answering:
👉 “Why do you want to work at League?”
Upload your video to Google Drive or YouTube, and share the link in a clickable PDF with your application.
Please note: This is an in-office position at our Toronto HQ from Monday to Thursday and Fridays are work-from-home. We really value fostering in-person connection and collaboration which is especially advantageous as learning opportunity for a Co-op student.
