AI Engineer Co-op, League

Spring/Summer Term

Salary not provided

Hourly compensation range: $25 - $30 CAD + Bonus and equity

SQL

GCP

Python

Looker

Airflow

Tensorflow

Terraform

Scikit-Learn

PyTorch

BigQuery

Toronto

In-office Monday to Thursday

4 days a week in office

Consumer experience platform for healthcare

Be an early applicant

Consumer experience platform for healthcare

501-1000 employees

HealthcareB2BPersonal healthSaaSData Analysis

Be an early applicant

Salary not provided

Hourly compensation range: $25 - $30 CAD + Bonus and equity

SQL

GCP

Python

Looker

Airflow

Tensorflow

Terraform

Scikit-Learn

PyTorch

BigQuery

Toronto

In-office Monday to Thursday

4 days a week in office

501-1000 employees

HealthcareB2BPersonal healthSaaSData Analysis

Company mission

To power next-generation healthcare experiences with a platform built to enable CX transformation.

Job

Company

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
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
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

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

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

Top investors

-4% employee growth in 12 months

Glassdoor (3.8)

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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