Research Scientist - World Model

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.