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Member of Technical Staff - Image / Video Researcher

Black Forest Labs is a cutting-edge startup pioneering generative image and video models. Our team, which invented Stable Diffusion, Stable Video Diffusion, and FLUX.1, is currently seeking a strong researcher to work on model training and development.

Role:

  • Training large scale Diffusion (transformer) models for image and video
  • Rigorously ablating design choices and communicating results & decisions with the broader team
  • Reasoning about the speed and quality trade-offs of neural network architectures

Ideal Experiences:

  • Training large scale Diffusion models for image and video data
  • Finetuning Diffusion models for image and video applications, such as, image and video upscalers, in and out painting models, etc.
  • Deep understanding of how to effectively evaluating image and video generative models
  • Strong proficiency in PyTorch, transformer models and other NN architectures.
  • Deep understanding of training techniques such as FSDP, low precision training, and model parallelism

Nice to have:

  • Experience with writing forward and backward Triton kernels and ensuring their correctness while considering floating point errors
  • Profiling, debugging, and optimizing single and multi-GPU operations using tools such as Nsight or stack trace viewers

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