AI Engineer (Co-op) - Winter Term

League; Toronto; On-site; CAD 125,000 - 150,000; Full time

Job summary

A leading healthcare technology firm in Toronto is seeking an AI Engineering co-op to build intelligent systems and scalable machine learning infrastructure. You'll learn machine learning fundamentals while contributing to real-world projects. This role is in-person, offering hands-on experience in a rapidly evolving field. The compensation for this full-time position is CAD 25-30 per hour.

Qualifications

• Join our team to build intelligent systems and scalable machine learning infrastructure.
• Learn fundamentals of AI model development, deployment, and monitoring.
• Partake in real‑world projects that integrate machine learning.

Responsibilities

• Design, build, and optimize machine learning pipelines.
• Work with large datasets to improve data quality and model performance.
• Contribute to deploying AI services in production.

Skills

Exposure to AI, data science, or machine learning projects

Familiarity with cloud‑based data or ML platforms

Previous engineering co‑op or internship experience

Tools

GCP (Vertex AI, BigQuery)

Airflow

Terraform

Job description

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 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, 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, BigQuery), 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, YouTube, 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 at League. Where 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 [e-mail].

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

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