World Labs

Building

AI Frontier · Spatial intelligence foundation models (Fei-Fei Li)

Currently tracking 8 active AI roles, down 33% versus the prior 4 weeks. Primary focus: Serve · Research. Salary range $200k–$350k (avg $279k).

Hiring
8 / 8
Momentum (4w)
-2 -33%
4 opens last 4w · 6 prior 4w
Salary range · avg $279k
$200k–$350k
USD · disclosed roles only
Tracked since
Dec '25
last role today
Hiring velocityscroll left for older weeks
2 new roles
Dec 29
1 new role
Jan 5
2 new roles
26
2 new roles
Feb 16
1 new role
Mar 2
1 new role
23
1 new role
Apr 6
1 new role
13
1 new role
27

Jobs (4)

8 AI · 12 total active
TitleStageFunctionLocationFirst seenAI score
Research Engineer (Scaling Multimodal Data)
Research Engineer focused on improving multimodal world models by building and refining data processing pipelines and experiments. This role involves discovering, evaluating, and acquiring training data, designing data processing systems, analyzing data quality, and closing the loop with model training and evaluation.
DataPost-trainResearchSan Francisco, CAMar 39
Research Engineer / Scientist (3D Tech Lead)
World Labs is seeking a Tech Lead for 3D Modeling & Reconstruction to set technical direction and drive execution for their core 3D modeling efforts. This role involves leading the design and implementation of state-of-the-art 3D modeling systems, driving innovation in modern 3D modeling approaches, and guiding architectural decisions around 3D representations, training pipelines, and inference systems. The role also includes leading and mentoring a team, owning end-to-end execution, and collaborating with cross-functional partners.
DataServeResearchSan Francisco, CAJan 289
Research Engineer / Scientist (3D Reconstruction)
World Labs is seeking a Research Engineer/Scientist specializing in 3D Reconstruction to develop and advance state-of-the-art methods for creating high-quality 3D geometry and appearance from real-world data. This role involves working with modern reconstruction techniques, novel representations, robust optimization, and scalable training/inference pipelines at the intersection of computer vision, graphics, and machine learning. The goal is to translate cutting-edge research into production-ready systems for spatial intelligence.
DataServeResearchSan Francisco, CAJan 279
Research Scientist (Generative Modeling)
Research Scientist role focused on generative modeling, specifically diffusion models for 3D worlds. Involves designing, implementing, and training large-scale models, with a focus on pre-training, post-training, and efficient inference. Collaborates with research, engineering, and product teams to bring advanced 3D modeling techniques into real-world applications.
Post-trainServeResearchSan Francisco, CADec '259