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Job Description & How to Apply Below
Founded in 2014, League is the leading healthcare consumer experience (CX) platform, powered by artificial intelligence (AI), reaching more than 63 million people worldwide 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.
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
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, 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:
Cloud &
Infrastructure: GCP (Vertex AI, Big Query), Airflow, Terraform
Your Experience So Far Might Include
Exposure to AI, data science, or machine learning projects
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, You Tube, etc.).
CANADA APPLICANTS ONLY: The Canada‑specific compensation range below for this full‑time position is exclusive of bonus, equity and benefits. This range reflects the minimum and maximum target for base salaries for the position across all Canadian locations. The salary range is intentional to account for the performance and career progressions a Leaguer will experience in the role throughout their time re in the band you may land is determined by job‑related skills/experience.
Your recruiter can share more about the specific salary range specific to your skills and experience during the hiring process.
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.
Use of AI Notice
We are committed to ensuring fairness and transparency throughout our hiring process. League may use Artificial Intelligence (AI) tools to assist in the screening of applicants for this position. Please check out our stance on using AI in recruitment here.
Privacy Policy
Review our Privacy Policy for information on how League is protecting personal data.
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