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AI Engineer; Co-op - Spring​/Summer Term

Job in Toronto, Ontario, C6A, Canada
Listing for: League
Seasonal/Temporary position
Listed on 2026-03-06
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: AI Engineer (Co-op) - Spring/Summer Term

About League

Founded in 2014, League is the leading healthcare consumer experience (CX) platform, powered by artificial intelligence (AI), reaching more than 63 million people around the world and delivering the highest level of personalization in the industry. Payers, providers, and consumer health partners build on League’s platform to deliver high‑engagement healthcare solutions proven to improve health outcomes. League has raised over $285 million in venture capital funding to date, powering the digital experiences for some of healthcare’s most trusted brands, including Highmark Health, Manulife, Medibank, and Shoppers Drug Mart.

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 s 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
  • 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
  • Languages & Frameworks:
    Python, SQL, PyTorch, Tensor Flow, scikit‑learn
  • Cloud & Infrastructure: GCP (Vertex AI, Big Query), 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 You Tube
, 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 a learning opportunity for a Co‑op student.

Compensation range for Canada applicants only

$25—$30 CAD

Our employees come from different backgrounds, and we celebrate those differences. 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.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at

Our Application Process
  • You should receive a confirmation email after submitting your application.
  • A recruiter (not a computer) reviews all applications at League.
  • If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team‑specific interview process depending on the roles you are exploring.
  • The final step is an offer, which we hope you will accept!
  • Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are…
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
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