# Research Scientist - World Model at Luma AI

Luma AI is hiring a Research Scientist - World Model for a remote role open to applicants in United States. Level rates it Builds AI ●●●●; you can [apply on Luma AI](https://jobsbylevel.com/go/19be65ae-b6bc-45e5-882b-6307c0723d41?utm_medium=ai-agent).

AI Level 4, AI centrality 100 out of 100. Remote (Redwood City, CA).

## Details

- Company: [Luma AI](https://jobsbylevel.com/companies/luma-ai)
- AI level: AI Level 4 (score 100 out of 100)
- Location: Remote (Redwood City, CA)
- Posted: July 24, 2026
- Apply: https://jobsbylevel.com/go/19be65ae-b6bc-45e5-882b-6307c0723d41?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=research-scientist-world-model-at-luma-ai-785076

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/research-scientist-world-model-at-luma-ai-785076

## 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.

Source: https://jobsbylevel.com/jobs/research-scientist-world-model-at-luma-ai-785076

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