Research Scientist - World Model

United States·Sf Bay Areafull-timemid

Data ScientistData

2 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

action conditioning, view conditioning, long-horizon rollouts. - Define and own the metrics: physical fidelity, long-horizon coherence, action-following, and downstream usefulness for policy training.

Requirements Summary

large-scale generative modeling (video/3D/world), self-supervised representation learning, model-based RL.

Technical Tools

Data ScientistData

THE ROLE

This is the role at the center of the thesis. Luma already trains the strongest generative video models in the industry; the next step is turning those models into world models — interactive, controllable, physically faithful, and useful as a substrate for embodied reasoning. As a Research Scientist on the World Models team, you'll work on the next generation of generative models that can be rolled out as worlds.

WHAT YOU'LL DO

- Invent next-generation world model architectures — diffusion, transformer, autoregressive, or hybrid — with a particular focus on controllability and physical consistency.

- Develop controllability mechanisms that let an agent step into the world: action conditioning, view conditioning, long-horizon rollouts.

- Define and own the metrics: physical fidelity, long-horizon coherence, action-following, and downstream usefulness for policy training.

- Run scaling studies that tell us where compute, data, and architecture pay off.

- Publish at the frontier; contribute to the open-source release that is the long-term deliverable.

MINIMUM QUALIFICATIONS

- PhD or equivalent research record in ML, computer vision, robotics, or related fields.

- Deep expertise in at least one of: large-scale generative modeling (video/3D/world), self-supervised representation learning, model-based RL.

- Strong PyTorch and large-scale training experience — you've trained models that hit the limits of a multi-node cluster.

- A research record the field knows (top-venue publications and/or widely-used open releases).

PREFERRED

- 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).

- Excitement about open-sourcing frontier models.

What We Offer

~1 min read

The base pay range for this role is $250,000 – $450,000 per year.

Location & Eligibility

Where is the job

Sf Bay Area, United States

Hybrid, some on-site time required

Who can apply

About this job

Pay per year: $250,000–$450,000 a year; 78% above the $196,700 median for Data Scientist jobs on Jobera (706 salaries).
Who can apply: United States
Posted: 138 days ago
Employer: has 50 open jobs on Jobera in 4 countries.