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AI Engineer (Co-op) - Spring/Summer Term at League · Toronto
Skills
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 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 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 (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
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
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 learning opportunity for a Co-op student.
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.
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 recruitinginfo@league.com.
- 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.
- Learn about our platform, leadership team and partners
- Highmark Health, Google Cloud, League: new digital front door to seamless care
- Former Providence President and Workday EVP of Corporate Strategy join League Board of Directors
- League raises $95 million USD in Series C to build world’s leading healthcare CX platform
- Forbes x League: The Platformization Of Healthcare Is Here
- Fast Company x League: If we want better innovations in healthtech, we need more competition
Work Location:
We have a mix of office-centric roles based in our vibrant Toronto office, and remote-eligible roles based anywhere in Canada or US. Each job posting will indicate where the role will be based. Regardless of the role’s posted location, all Toronto-area Leaguers (living within 65 km of our downtown HQ) collaborate in-office Monday through Thursday. Depending on your distance to the office, you’ll enjoy 10 or 20 Flexible Remote Days each quarter for focus and deep-work time. We are committed to fostering a meaningful work environment and connections for all Leaguers regardless of location.
Recognize and Avoid Employment scams. Practice safe job searching.
Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here.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.