Ideogram
Technology
ResearchEngineer/ResearchScientist(Post-training)
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optimal for Senior candidates.
“Research Engineer / Research Scientist (Post-training) at Ideogram. Skills: Generative AI, Diffusion Models, Post-training pipeline. Develop post-training pipeline. Advance techniques”
What You'll Achieve.
Measurable gains
Industry & Context.
Solving tough problems; Debug ML models
What They're Looking For.
Must Have
5+ years experience ML models, Experience implementing ML foundations, Familiarity with Deep Learning, Familiarity with advanced ML, End-to-end understanding generative media, Ability to debug ML models
Nice to Have
Familiarity with Kubernetes, Familiarity with Docker, Experience in low-level ML optimization, Writing CUDA kernel code
What You'll Do.
Develop post-training pipeline
Contribute to post-training research
Implement fine-tune pipelines
Maintain fine-tune pipelines
Implement eval pipelines
Maintain eval pipelines
How You'll Work.
Team & Collaboration
Creative team; Ambitious team; Engineers and researchers; Flat team; High ownership; Collaboration; Mentorship; Curious builders; Small teams
Full Job Description
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 https://ideogram.ai/models/4.0/, Character https://ideogram.ai/features/character and Custom Models https://ideogram.ai/features/custom-models/ blog posts, and try Ideogram at ideogram.ai http://ideogram.ai. THE OPPORTUNITY In this role, you will 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. You will contribute to post-training research that drives measurable gains, and implement and maintain high-throughput fine-tune/eval pipelines. You'll work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy. WHAT WE'RE LOOKING FOR - 5+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlow. - Experience in implementing Machine Learning foundations (e.g., Transformer https://arxiv.org/abs/1706.03762, VAE https://arxiv.org/abs/1312.6114, Denoising Diffusion models https://arxiv.org/abs/2006.11239) from scratch. - Track record in machine learning innovation and familiarity with Deep Learning and advanced Machine Learning. - E
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