
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 AGI. We believe that intelligence emerges from large-scale foundation models that can reason, plan, and communicate with depth and precision. Language models are central to this vision — serving as the backbone for reasoning, world modeling, and interaction. To advance this mission, we build and operate the full stack end-to-end, spanning foundation models, large-scale training infrastructure, inference systems, and real-world products. This tight integration allows us to push research forward while shipping impactful systems at scale. Backed by a recent $900M Series C and our partnership with Humain to build a 2 GW compute supercluster (Project Halo), we are scaling the next generation of frontier language models. Where You Come In This is a rare opportunity to help define the future of large-scale language models. You will work across the entire lifecycle of model development — from large-scale pre-training, to targeted mid-training, to post-training alignment and capability refinement. You will operate at the frontier of scaling laws, reasoning, and alignment, directly shaping how foundation models learn, generalize, and behave in real-world deployments. What You’ll Do This role spans both the “science” and “engineering” dimensions of research — two aspects that are equally important. You will work across modeling, data, systems, and evaluation. Modeling
Data
Systems
Evaluation
Multi-step reasoning and mathematical problem solving Coding and structured generation Knowledge grounding and factuality Planning and agentic behavior Instruction following and alignment
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