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 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 OnDesign, build, and optimize machine learning pipelines for training and inferenceWork with large‑scale datasets to improve data quality, feature engineering, and model performanceExperiment with LLMs (Large Language Models), NLP, and other applied AI techniquesContribute to deploying AI services in production with monitoring, scalability, and reliability in mindSupport model evaluation, fine‑tuning, and documentation for AI‑powered systemsSecurity‑related ResponsibilitiesCompliance with Information Security PoliciesCompliance with League’s secure coding practiceResponsibility and accountability for executing League's policies and proceduresNotification of HR, Legal, Compliance & Security of any incidents, breaches or policy violationsTechnologies You’ll Learn and UseLanguages & Frameworks: Python, SQL, PyTorch, TensorFlow, scikit‑learnCloud & Infrastructure: GCP (Vertex AI, BigQuery), Airflow, TerraformMonitoring & Visualization: Looker, Weights & Biases,



MLflowYour Experience So Far Might IncludeExposure to AI, data science, or machine learning projectsHands‑on software development experience (Python preferred)Familiarity with cloud‑based data or ML platformsPrevious engineering co‑op or internship experienceAs part of your application, please record a1‑minute videoanswering:“Why do you want to work at League?”Upload your video toGoogle Drive or YouTube, and share thelink in a clickable PDFwith 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 CADOur 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 [email protected] Application ProcessYou 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 LeagueLearn about our platform, leadership team and partnersHighmark Health, Google Cloud, League: new digital front door to seamless careFormer Providence President and Workday EVP of Corporate Strategy join League Board of DirectorsLeague raises $95 million USD in Series C to build world’s leading healthcare CX platformForbes x League: The Platformization Of Healthcare Is HereFast Company x League: If we want better innovations in healthtech, we need more competitionWork LocationWe 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 workplace 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.Use of AI NoticeWe 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 PolicyReview our Privacy Policy for information on how League is protecting personal data.#J-18808-Ljbffr

📌 Ai Engineer (Co-Op) - Spring/Summer Term - C$25 - C$30 An Hour (Toronto)
🏢 League
📍 Toronto