Research Scientist Intern - Post-Training (Distillation)
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Le poste
6-month Research Scientist Intern focusing on accelerating sampling speed in diffusion models for text-to-image and image editing.
Develop and evaluate distillation techniques such as re-flow, shortcut models, and adversarial diffusion distillation to boost performance.
Contribute to training and fine-tuning large-scale text-to-image models, conduct ablations, and design robust evaluation metrics.
Document research findings and communicate results via technical reports and open-source contributions.
Hybrid, Paris-based role requiring occasional in-office presence; collaborative, fast-paced environment.
Ideal candidates are PhD or MSc students in ML/CS with Python and PyTorch/JAX experience and a passion for open-source.
Develop and evaluate distillation techniques such as re-flow, shortcut models, and adversarial diffusion distillation to boost performance.
Contribute to training and fine-tuning large-scale text-to-image models, conduct ablations, and design robust evaluation metrics.
Document research findings and communicate results via technical reports and open-source contributions.
Hybrid, Paris-based role requiring occasional in-office presence; collaborative, fast-paced environment.
Ideal candidates are PhD or MSc students in ML/CS with Python and PyTorch/JAX experience and a passion for open-source.
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