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
Please note: This is an in-person position in our Toronto HQ from Monday to Thursday.
With your application, kindly submit a 1 minute video talking about "Why you want to work at League". You can submit this in a PDF file with a link to the video (Google Drive, Youtube, etc.).
