About the 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 4.0 , Enterprise , API , Open Source , Character and Custom Models blog posts, and try Ideogram at ideogram.ai .
About
the Role The Senior Open-Source ML Lead serves as a strategic bridge between Ideogram's internal research teams and the broader AI ecosystem. This person will own the vision for turning foundational research into high-quality, production-grade public tooling, while building and stewarding a thriving developer community around our work.
Responsibilities Open-Source Strategy: Own and drive the vision for releasing open model weights, methodologies, and code, in close partnership with research and leadership. Community Leadership: Oversee and scale our GitHub and Hugging Face presence, setting standards for repository quality, documentation, and contributor experience. Advocacy & Outreach: Champion open science by building open-source demos (e.g., implementing LoRA fine-tuning for our models), publishing technical blog posts, engaging deeply with the community, and representing Ideogram at conferences and industry events. Ecosystem Collaboration: Build and manage relationships with model providers, internal engineers, and external contributors to advance AI accessibility and Ideogram's standing in the open-source ecosystem. Research-to-Release: Lead the conversion of internal, proprietary implementations into polished, reproducible open-source code, setting the bar for quality and usability across