
Luma AI’s mission is to build Multimodal AGI: AI that can generate, understand, and operate in the physical world. We develop multimodal models across video, 3D, and generative media, and ship them…

Luma AI’s mission is to build Multimodal AGI: AI that can generate, understand, and operate in the physical world. We develop multimodal models across video, 3D, and generative media, and ship them…
Headquarters: Palo Alto / San Francisco area
Founded: 2021
Employees: ~290
Tech focus: Multimodal generative AI (video, 3D, image, audio, text)
Recent product: Luma Agents / Uni-1 (Unified Intelligence) models
Notable funding: Series B $43M (2024); reports of $900M Series C led by HUMAIN
Creative content generation and 3D capture/production using multimodal AI
2021
Generative AI / Creative tools
$4.3M
Seed round reported Oct 29, 2021
$43M
Series B reported Jan 9, 2024; post-round available capital reported to exceed $70M
$900M
Reported $900M Series C led by HUMAIN (company disclosures)
“Backers named in company materials include HUMAIN, Andreessen Horowitz, AWS, AMD Ventures, NVIDIA, Amplify Partners, Matrix Partners and other venture and corporate investors.”
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About Luma AI Luma’s mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable, and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change. Our flagship product is Dream Machine, and we recently released Ray3, the first reasoning video model. We're ~110 people, growing fast, and Applied Research is a big part of that growth.
About The Role We're building out the Applied Research recruiting team at Luma. AR sits between the "Lab" and the "Product" - the team that turns raw research into tools that millions of people actually use.
Right now, the hiring focus is Data Infrastructure and Machine Learning Engineering. As we scale, that expands into Research Engineers, Applied Scientists, Graphics Engineers, and Technical Artists.
We're hiring multiple senior recruiters who can hit the ground running and help build the function from the ground up.
What You'll Do
A Day in the Life
Some days you're heads down sourcing. Some days you're in back-to-back screens. Some days you're working on a new sourcing strategy or tool. It moves fast.
What We're Looking For
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