Multimodal generative AI models for video, 3D and creative media
Luma builds multimodal generative models for video and 3D, shipped through its Dream Machine product. The stack is frontier-lab infrastructure: PyTorch and JAX training on NVIDIA and AMD GPUs over InfiniBand/RDMA, with vLLM, SGLang and TensorRT-LLM for inference. Hiring now tilts toward sales, design and go-to-market roles in the UK, Germany and Saudi Arabia, signaling a push from research into enterprise and agency revenue across EMEA.
Notable leadership hires: Creative Lead, Tech Lead Manager, Delivery Lead
Luma is a privately held AI company headquartered in the San Francisco Bay Area with 51–200 employees. It develops multimodal models spanning video, 3D and generative media, and delivers them through products such as Dream Machine for creators and teams. Its go-to-market targets brands, agencies and entertainment companies with production workflows and vertical-specific demos. Engineering runs on Python, Go, Rust, C++ and TypeScript across AWS and OCI, orchestrated with Kubernetes, Ray, Terraform and Airflow. Hiring spans the United States, Germany, Saudi Arabia and the United Kingdom.
Luma uses PyTorch, JAX and TensorFlow for modeling, vLLM, SGLang and TensorRT-LLM for inference, Ray and Kubernetes for orchestration, and NVIDIA and AMD GPUs on AWS and OCI with InfiniBand networking.
Luma is hiring in the United States, Germany, Saudi Arabia and the United Kingdom, with open work focused on building a UK sales motion and EMEA account growth.
Luma is building end-to-end generative production workflows for brand, agency and entertainment use cases, automated evaluation pipelines for generative models, and reusable templates and demo libraries.
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Luma's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.