Software Engineer, ML Data Infrastructure

About this role

About Ideogram
Ideogram’s mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google’s Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering – shipping experiences that creatives actually love.


We’ve raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship.


Explore Ideogram 3.0, Canvas, and Character blog posts, and try Ideogram at ideogram.ai.


About The Role
We're seeking an experienced engineer to join our team as a Software Engineer, ML Data Infrastructure. You’ll collaborate with exceptional engineers to build cutting-edge AI design experiences that delight millions of users.


You'll Thrive Here If You're Excited About

• Tackling complex technical challenges collaboratively, from scaling distributed systems to enabling new generative media experiences
• Building robust data infrastructure that powers foundation models at petabyte scale, ensuring reliability and performance across multi-modal training pipelines
• Optimizing data processing workflows for massive throughput, working hands-on with distributed systems, TPU infrastructure, and large-scale storage solutions
• Partnering with research scientists to understand data requirements and translating them into production-grade systems that accelerate model development cycles

What We're Looking For


Technical Excellence

• 2-5 years developing and shipping large-scale distributed systems with proven ability to manage complexity through t...