Open position

Diffusion training and fine-tuning

Train and fine-tune the image and video models our API serves. A new checkpoint ships when more of its outputs pass our acceptance checks, not when it wins a benchmark.

Research

What you'll do

  • Fine-tune image and video diffusion models for the jobs customers run most, such as presenters, products and image-to-video.
  • Build the data and evaluation loops that tell a better checkpoint from a lucky one.
  • Turn research results into models the serving team can run at our prices.
  • Write up what worked and what did not, so the next run starts further ahead.

What you bring

  • Hands-on experience training or fine-tuning diffusion or other generative models.
  • Strong PyTorch, and comfort with distributed training on multi-GPU machines.
  • A habit of measuring before claiming.

Good to have

  • Work on video models, adapter training or distillation.
  • Papers, open-source code or demos you can show us.

Apply.

Tell us what you work on and what you would want to measure first. Links to papers, code or demos help us most.