Ideogram's mission is to make world-class design accessible to everyone, multiplying human creativity by building proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design.
Requirements
- 5+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlow.
- Experience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratch.
- Track record in machine learning innovation and familiarity with Deep Learning and advanced Machine Learning.
- End-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AI.
- Ability to debug machine learning models to iteratively improve model quality and performance.
- Familiarity with kubernetes and docker.
- Experience in low-level machine learning optimization, e.g., writing CUDA kernel code.
Responsibilities
- develop the post-training pipeline for our text-to-image foundation models end to end, from data strategy to deployment, advancing techniques such as RLHF, RLAIF, and work on personalization/customization.
- contribute to post-training research that drives measurable gains, and implement and maintain high-throughput fine-tune/eval pipelines.
- work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy.
Other
- 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.
- 4 weeks of vacation to recharge and explore.
