Offer summary

Qualifications:

Strong expertise in Python and PyTorch for building machine learning models., Deep understanding of multimodal generative models and deep learning architectures., Experience with large-scale distributed training systems is preferred., Research track record in generative AI, with publications in top-tier venues is a plus..

Key responsibilities:

Lead research in multimodal foundation models including video, image, text, and audio.

Design and implement novel algorithms and architectures for large-scale generative AI models.

Develop training methodologies for foundation models across multiple GPUs.

Collaborate with teams to transition research into production systems.

Job description

About the Role

At Luma, the Foundation Models team is responsible for building the core multimodal AI systems that power our entire platform. Working at the forefront of generative AI research, this team develops the fundamental architectures and training methodologies that enable our models to see, hear, understand, and interact with the world across video, image, text, and audio modalities.

Responsibilities

Lead cuttingedge research in multimodal foundation models spanning video, image, text, and audio
Design and implement novel algorithms, architectures, and techniques for largescale generative AI models
Develop training methodologies for foundation models across thousands of GPUs
Research and implement stateoftheart techniques in Autoregressive LLMs, Vision Language Models, and or Diffusion Models.
Collaborate with crossfunctional teams to transition research into production systems