About the job
Established in 2014, League Inc. stands as the foremost platform for healthcare consumer experience (CX), driven by cutting-edge artificial intelligence (AI). Engaging over 63 million individuals globally, we provide unparalleled personalization within the healthcare industry. Our platform enables payers, providers, and consumer health partners to create high-engagement healthcare solutions that are proven to enhance health outcomes. With more than $285 million in venture capital funding, we power the digital experiences for some of healthcare’s most trusted brands, including Highmark Health, Manulife, Medibank, and Shoppers Drug Mart.
AI Engineer Co-op
Kickstart Your Career in AI Engineering!
Join our innovative team to gain practical experience in developing intelligent systems and scalable machine learning infrastructure. You will master the essentials of AI model development, deployment, and monitoring, while actively contributing to real-world projects that bring machine learning to life at League. This co-op offers a unique opportunity to lay a solid foundation in a dynamic field at the crossroads of data, software, and intelligence.
Your Responsibilities
Collaborate with our AI and data teams to:
- Design, construct, and enhance machine learning pipelines for training and inference
- Handle large-scale datasets to elevate data quality, feature engineering, and model performance
- Experiment with Large Language Models (LLMs), Natural Language Processing (NLP), and various applied AI techniques
- Assist in deploying AI services in production with a focus on monitoring, scalability, and reliability
- Support model evaluation, fine-tuning, and documentation for AI-driven systems
Security Responsibilities:
- Adhere to Information Security Policies
- Follow League’s secure coding practices
- Be responsible for executing League's policies and procedures
- Notify HR, Legal, Compliance & Security of any incidents, breaches, or policy violations
Technologies You Will Engage With
Familiarize yourself with technologies and tools including:
- Languages & Frameworks: Python, SQL, PyTorch, TensorFlow, scikit-learn

