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Tracking AI hiring across 200+ US tech companies. Stage, salary, and stack signals on every role — refreshed weekly.

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Currently tracking 8 active AI roles, down 17% versus the prior 4 weeks. Primary focus: Serve · Research. Salary range $200k–$350k (avg $279k).

Hiring
8 / 8
Momentum (4w)
↓-1 -17%
5 opens last 4w · 6 prior 4w
Salary range · avg $279k
$200k–$350k
USD · disclosed roles only
Tracked since
Dec '25
last role 6w ago
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
2 new roles
Jun 1

World Labs currently has 9 active AI-related job listings. The hiring is distributed across several stages, with "serving infrastructure" and "data" each accounting for 33% of the roles. The top functions for these positions are Engineering and Research. Frequent technology tags include model_serving, inference_infra, and multimodal.

Auto-generated from active job postings · last refreshed 2026-05-18

World Labs

World Labs

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

Frequently asked questions

  • What AI roles is World Labs hiring for?

    World Labs currently has 9 active AI-related roles in our index. The most common open titles are: Pipeline Engineer (Graphics/3D), Research Engineer (Scaling Multimodal Data), Research Engineer / Scientist (3D Reconstruction), Research Engineer / Scientist (3D Tech Lead), Research Engineer / Scientist (SLAM). Most positions are in Engineering and Research.

  • What stage of AI development does World Labs focus on?

    World Labs's active AI hiring is concentrated in: serving infrastructure (33%), data (33%), application (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is World Labs hiring AI talent?

    World Labs is hiring AI talent in: United States (9 roles).

  • What technologies does World Labs's AI team work with?

    Job postings at World Labs most frequently reference: model serving, inference infra, multimodal, synthetic data, vision.

  • How many AI roles has World Labs posted recently?

    In the past 30 days, World Labs has posted 0 new AI-related roles.

Jobs (4)

8 AI · 13 total active
FilteredFunctionResearch×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 3Post-train · 1Serve · 3Agent · 1Ship · 1
Function
AllEngineering · 8Research · 4Product · 2
Sort
AI scoreRecentTitle
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