# Research Scientist - World Model - Company: [Lumaai]() - Location: Redwood City, CA - Remote: Yes - Team: Research & AI - Employment type: Full Time - Posted: July 24, 2026 ## Job description You'll turn Luma's industry-leading generative video models into world models: interactive, controllable, physically faithful, and useful as a substrate for embodied reasoning. This is the role at the center of the thesis. You'll invent next-generation world-model architectures and the controllability that lets an agent step into a generated world, and own the metrics that define success. It fits a researcher with deep generative-modeling or model-based-RL expertise who has trained models to the limits of a multi-node cluster. If you want a narrow, well-scoped research problem, this is broader and more open-ended than that. **What You'll Own** * Invent next-generation world-model architectures (diffusion, transformer, autoregressive, or hybrid), focused on controllability and physical consistency. * Develop controllability mechanisms — action conditioning, view conditioning, long-horizon rollouts — that let an agent step into the world. * Define and own the metrics: physical fidelity, long-horizon coherence, action-following, and downstream usefulness for policy training. * Run scaling studies that show where compute, data, and architecture pay off. * Publish at the frontier and contribute to the open-source release that is the long-term deliverable. **First 90 Days** *One way the first 90 could unfold.* * **Days 1–30 — Immerse & Diagnose:** Get deep on the current video models and where they fall short as world models. * **Days 30–60 — Ship & Validate:** Prototype a controllability mechanism or architecture change and measure it against physical-fidelity and action-following metrics. * **Days 60–90 — Scale & Systemize:** Run scaling studies and push the most promising direction toward the open release. **What You Bring** * PhD or equivalent research record in ML, computer vision, robotics, or a related field. * Deep expertise in at least one of: large-scale generative modeling (video/3D/world), self-supervised representation learning, or model-based RL. * Strong PyTorch and large-scale training experience, to the limits of a multi-node cluster. * A research record the field knows (top-venue publications and/or widely used open releases). **Nice to Have** * Prior work on world models, model-based RL, generative video, neural simulation, or 4D scene representations. * Experience using generative models for downstream embodied tasks (planning, control, evaluation). * Enthusiasm for open-sourcing frontier models. *About Luma: Luma's mission is to build unified general intelligence that can generate, understand, and operate in the physical world. We believe multimodality is critical for intelligence — the next step beyond language models comes from vision. Luma is an equal opportunity employer.* ## Apply [Apply on Lumaai]() Canonical job page: