
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 / domain: lumalabs.ai (Palo Alto)
Flagship product: Dream Machine — web and iOS image & video generation platform
Core models: Ray3 family (Ray3, Ray3 Modify, Ray3.14) for production-quality video
Recent funding: Announced $900M Series C led by HUMAIN
Employees (approx.): 240
Generative multimedia (image and video) creation and multimodal AI models.
Software Development
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Announced $43M Series B to expand generative 3D and multimodal AI work
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Announced $900M Series C with participation from AMD Ventures, Andreessen Horowitz, Amplify Partners and others; included partnership on large compute buildout
“HUMAIN-led strategic investment and participation from institutional VCs including Andreessen Horowitz, AMD Ventures, Amplify Partners, Matrix (per company reporting and coverage)”
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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.
Where You Come In We are looking for versatile and product-minded Backend Engineers to build the core systems that power Luma’s generative AI products, including Dream Machine. This isn't a siloed role; you'll be a generalist working across the entire product backend, from designing and shipping high-traffic APIs to developing the infrastructure for our agentic systems and ensuring our services are scalable and reliable for millions of users.
The ideal candidate is a proactive, adaptable engineer who thrives in a fast-paced startup environment, takes initiative, and demonstrates strong product instincts.
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