22 Oct
|
League
|
Toronto
About LeagueFounded 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‑opLaunch Your AI Engineering CareerJoin 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
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, 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 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 exploring.
Here are some additional resources to learn more about League
Learn about our platform, leadership team and partners
Highmark Health, Google Cloud, League: recent digital front door to seamless care
Former Providence President and Workday EVP of Corporate Strategy join League Board of Directors
League raises
📌 Ai Engineer (Toronto)
🏢 League
📍 Toronto