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Ideogram

Machine Learning Researcher

Sorry, this job was removed at 08:09 p.m. (EST) on Friday, May 16, 2025
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In-Office
New York, NY, USA
In-Office
New York, NY, USA

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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 Ideogram 3.0 and Canvas 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, 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.

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.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

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