Data / ML Internship

AI Engineer Co-op

at League

📍 Location Toronto
📋 Details Co-op
📅 Posted

About the Role

Build ML pipelines, deploy models, monitor performance

About League

Toronto-based AI/data platform company

Full Description

Who you are

  • 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
  • We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at League and believe you can add value to our team, we would love to hear from you

What the job involves

  • 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
  • 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
  • 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

The application process

  • 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

Benefits

  • Flexible medical and dental plans
  • 401(k) and RRSP matching programs
  • Health, lifestyle, learning and family spending accounts
  • Employee stock option program (ESOP)
  • Generous leaves (including parental and sabbatical)
  • Flexible time off

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