Help us build the World's best insurance shopping experience

We are looking for talented people who want to learn innovate and make a difference

What We Are About

Here at MyChoice we understand what shopping for car and home insurance is like and believe that nobody should have to overpay when it comes to their premiums. Our mission is to help Canadians save a billion dollars and we need your help to get there. We also build and license technology to help our financial institution partners better serve their customers!

Benefits of Working at MyChoice


Work from anywhere! While we'd love to have you in our office, you can come in on your own terms.


Industry leading compensation packages! We want our employees to own a piece of our success.

Make a Difference

Be a part of a startup that's actually shaking up the industry it's in!


Startup culture without the fat! Come be a part of one of the most exiting companies in Canada.

What Our Employees Think

"I never thought insurance could actually be fun. Working here makes me feel like i'm on the right trajectory in my career and MyChoice is truly on the cusp of something BIG."
"This isn't your average comparison site. MyChoice is working on some of the coolest tools that is sure to make waves in the industry. Aren & Matt are are great leaders with a clear vision."

Our Office

Open Roles

Creative Producer, Video

Full-time | Remote

Looking for a Creative Producer, Video with:

  • Extensive experience in video production, including scripting, shooting, and editing.
  • Proficiency in Adobe Creative Suite, especially Premiere Pro and After Effects.
  • Strong storytelling skills with an eye for detail and a passion for creative storytelling.

Sr. Full Stack Developer​

Full-time | Remote

Looking for a full stack dev with:

  • Experience in python specifically with the Django framework.
  • Experience in React.js and Typescript.
  • Experience with LLMs and Machine Learning is a plus.

Sr. Machine Learning Engineer

Full-time | Remote

Looking for a Senior Machine Learning Engineer with:

  • Profound expertise in Python and familiarity with key machine learning libraries.
  • Experience in deploying machine learning models, particularly in areas such as NLP, computer vision, or predictive analytics.
  • Knowledge of cloud services (AWS, Google Cloud, or Azure) and experience with ML model deployment on these platforms