Applied ML Researcher - Video Generation Job at kadence, San Francisco, CA

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  • kadence
  • San Francisco, CA

Job Description

Applied Researcher – Video Generation

We’re representing a seed-stage client at the absolute forefront of generative vision. This team is one of the very few in the world training their own video generation models from scratch, with a focus on capturing human emotion for the creative market.

About the Company

  • Backed by renowned investors including Y Combinator
  • Platform has already generated over 1 million videos and is experiencing rapid growth
  • Mission-driven team building the world’s best video foundation model for expressive emotion.

What We’re Looking For

  • PhD in a relevant field with a strong publication record (ideally multiple first-author papers in generative vision, transformers, diffusion models, or GANs)
  • Deep experience training large-scale ML models from scratch—vision transformers, diffusion models, and/or GANs
  • Passion for building and scaling new AI architectures from scratch
  • Excitement for working hands-on with internet-scale video data
  • Track record of scientific rigor, curiosity, and high-velocity experimentation

What You’ll Do

  • Train and optimize cutting-edge video generation models across 100s of GPUs
  • Distill and deploy models for efficient, high-quality inference
  • Drive research and development, proactively bringing new ideas from the latest academic literature
  • Collaborate with a world-class team to shape the future of AI video

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