Location
Toronto Canada
Toronto Canada
Salary
(Yearly)
(Yearly)
(Yearly)
(Yearly)
(Hourly)
Undisclosed
-
Date posted
October 7, 2025
Job type
Full-time
Experience level
Mid level

Job Description

Ideogram is on a mission to make professional-quality design accessible to everyone. We’re building an AI-native application that helps creative individuals and teams produce high-quality content faster and at a lower cost. We are pushing the boundaries of what’s possible with AI, with a focus on creativity and a high standard for trust and safety. Our headquarters is in downtown Toronto, and we have a growing presence in NYC. Read our 3.0, Canvas and Character blog posts, and try our product at ideogram.ai to get a glimpse of what we're building.

About the role

As a Machine Learning Researcher, you will push the frontier of what’s possible with AI and build and deploy state of the art machine learning models at scale. You will work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy with highly complex challenges. You will work directly with some of the best machine learning experts in the world, who have an exceptional track record of setting the vision and executing generative AI projects.

What we're looking for

  • PhD or Master’s degree in Computer Science or equivalent industry experience

  • 5+ years of experience in AI research, including training, fine-tuning, and experimenting with foundation models beyond black-box use

  • Track record of first-author publications at top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV, ACL, EMNLP)

  • Strong proficiency in one or more deep learning frameworks (e.g., JAX, PyTorch)

  • Experience communicating complex research to peers

  • Solid knowledge of programming languages and experience in developing, debugging, and optimizing beyond ML systems

Nice to have

  • Experience in low-level machine learning optimization, such as writing CUDA kernel code

Founding Team
Our founding team consists of world-renowned AI experts including Mohammad Norouzi, William Chan, and Chitwan Saharia. This team has previously led transformative AI projects at Google Brain, CMU, and the University of Toronto. Our fundamental work in generative media includes Imagen and Imagen Video: Google’s text-to-image and text-to-video systems.

Company Culture

We're a single flat team that transcends engineering, research, product, and operation roles. Everyone is willing to do whatever is necessary to make our company and customers successful. We believe that a small, dedicated team with a collaborative culture can move faster and build better and more coherent products than large hierarchical organizations. At Ideogram, we provide mentorship and support to help our employees grow with the company and achieve their ambitious career goals.

Ideogram is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about the people.

Apply now
Ideogram is hiring a Machine Learning Researcher. Apply through Homebase and and make the next move in your career!
Apply now
Companies size
11-50
employees
Founded in
2022
Headquaters
Toronto, Canada
Country
Canada
Industry
Software Development
Social media
Visit website

Similar AI jobs

Here are other jobs you might want to apply for.

CA.svg
Canada

Machine Learning Researcher

Full-time
Machine Learning Engineer
CA.svg
Canada

Machine Learning Engineer

Full-time
Machine Learning Engineer
No items found.

Machine Learning Intern

Intern
Machine Learning Engineer
GB.svg
United Kingdom
NL.svg
Netherlands
DK.svg
Denmark
GE.svg
Germany
CH.svg
Switzerland

Senior Machine Learning - AI & GPU Performance

Full-time
Machine Learning Engineer
GE.svg
Germany

Founding AI Software Engineer (Remote)

Full-time
Machine Learning Engineer
GE.svg
Germany

AI Software Engineer - Model Evaluation (f/m/d)

Full-time
Machine Learning Engineer
Open Modal