AI Engineer Co-op, League
Winter Term
$25 - $30 CAD per hour
Monday to Thursday in office
4 days a week in office
Consumer experience platform for healthcare
Job no longer available
Consumer experience platform for healthcare
501-1000 employees
Job no longer available
$25 - $30 CAD per hour
Monday to Thursday in office
4 days a week in office
501-1000 employees
Company mission
To power next-generation healthcare experiences with a platform built to enable CX transformation.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
- 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
- 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
Application process
- 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.)
- 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
Our take
Health benefits are a top requirement for anyone seeking a new job in the US today, but classic one-size-fits-all plans are no longer regarded fit for service. League's platform - for payers, providers, consumer health businesses, and employees - connects all benefits in one HIPAA-compliant place, to enable all bodies involved with health benefits to provide better customer healthcare experiences.
League is already one of the bigger players in the employee wellness space, having capitalised on the recently accepted correlation between employee health and productivity to secure huge clients like Uber, Shopify and Unilever. The company has seen significant investment, which will support the scaling of its platform-as-a-service offering. With more than 63 million contracted users, it is securing its position as the leading digital infrastructure for an integrated health ecosystem.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-4% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Feb 2022
$95m
SERIES C
Jul 2018
$47.1m
SERIES B
Total funding: $171.1m
Company benefits
- Flexible medical and dental plans
- 401(k) and RRSP matching programs
- Health, lifestyle, learning and family spending accounts
- Employee stock option program (ESOP)
- Generous leaves (including parental and sabbatical)
- Flexible time off
Company HQ
Entertainment District, Toronto, ON
Leadership
Michael Serbinis
(Founder & CEO)Founder of DocSpace and Kobo. Experience as CEO for Three Angels Capital and Board Director for Vector Insitute, among other prominent business leadership roles.
Salary benchmarks
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