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A forward-thinking AI company in Toronto is looking for a Machine Learning Researcher to push the limits of AI technology. The ideal candidate should have a PhD or Master's degree and over 5 years of experience in AI research. The role involves working with a renowned team on cutting-edge machine learning projects. A collaborative mindset and strong publication record are essential.
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.
Our founding team consists of world-renowned AI experts including Mohammad Norouzi, Jonathan Ho, William Chan, and Chitwan Saharia. This team has previously led transformative AI projects at Google Brain, UC Berkeley, CMU, and the University of Toronto. Our fundamental work in AI includes : Imagen : Google’s text-to-image system, Imagen Video for video synthesis, Denoising Diffusion Models, which is the foundation of the recent generative media transformation.
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.