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Research Engineer / Research Scientist (Post-Training) at Ideogram | Toronto

IdeogramToronto
On-site Full-time

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Experience Level

Experience

Qualifications

What We're Looking For5+ years of experience in developing machine learning models using frameworks such as JAX, PyTorch, or TensorFlow. Proficient in implementing machine learning foundations from scratch, including but not limited to Transformers, Variational Autoencoders (VAE), and Denoising Diffusion Models. A proven track record of innovation in machine learning and a solid understanding of deep learning and advanced machine learning techniques. Comprehensive knowledge of generative media applications and a passion for exploring new creative frontiers.

About the job

About Ideogram

At Ideogram, we believe in democratizing world-class design, amplifying human creativity through cutting-edge technology. Our proprietary generative media models and AI-driven creative workflows address the most pressing challenges faced in graphic design today. Our team is composed of seasoned innovators with a history of breakthroughs in technology, including pioneering research in Diffusion Models, Google’s Imagen, and Imagen Video. We prioritize design, taste, and craftsmanship alongside research and engineering, delivering experiences that creatives truly cherish.

Having secured nearly $100M in funding from prominent investors like Andreessen Horowitz and Index Ventures, our headquarters are located in Toronto, with a rapidly expanding team in New York City. We are on an aggressive scaling trajectory, aiming to triple our workforce in the upcoming year. Our culture is characterized by a flat hierarchy, fostering high ownership, collaboration, and mentorship.

Discover more about our innovative features in Ideogram 3.0, Canvas, and Character. Experience Ideogram at ideogram.ai.

The Opportunity

As a Research Engineer / Research Scientist, you will spearhead the development of our end-to-end post-training pipeline for text-to-image foundation models. Your role will encompass everything from data strategy to deployment, pushing forward techniques such as Reinforcement Learning from Human Feedback (RLHF), Reinforcement Learning from AI Feedback (RLAIF), and enhancing personalization/customization. You will play a pivotal role in post-training research that yields measurable advancements while implementing and maintaining high-throughput fine-tuning and evaluation pipelines. Join a dynamic team of engineers and researchers dedicated to shaping the future of the creative economy.

About Ideogram

Ideogram is at the forefront of making advanced design accessible to all, leveraging proprietary AI technologies to enhance creativity. With significant backing and a vibrant team culture, we are rapidly growing and innovating in the creative landscape.

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