World Labs currently has 9 active AI-related job listings. The majority of these roles are focused on data, representing 44% of the open positions. Research and Engineering are the top functions for these hires. The company is hiring exclusively in the United States. Frequent technology tags include model serving, inference infrastructure, and multimodal capabilities.
AI Frontier · Spatial intelligence foundation models (Fei-Fei Li)
Currently tracking 8 active AI roles, with 5 new openings in the last 4 weeks. Primary focus: Data · Research. Salary range $200k–$350k (avg $281k).
World Labs currently has 7 active AI-related roles in our index. The most common open titles are: Pipeline Engineer (Graphics/3D), Research Engineer / Scientist (3D Tech Lead), Research Engineer / Scientist (Robot Learning), Research Engineer / Scientist (SLAM), Research Platform Engineer. Most positions are in Engineering and Research.
World Labs's active AI hiring is concentrated in: serving infrastructure (29%), data (29%), application (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
World Labs is hiring AI talent in: United States (7 roles).
Job postings at World Labs most frequently mention: Computer Graphics, SLAM, Point Cloud Processing, Optimization Methods, Computer Vision.
In the past 30 days, World Labs has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Research Engineer / Scientist (Robot Learning) Research Engineer/Scientist focused on developing and advancing state-of-the-art methods for robot learning policies, with an emphasis on sim-to-real transfer, scalable training, and inference pipelines. The role involves designing, implementing, and productionizing robot learning systems, including imitation and reinforcement learning for manipulation, and optimizing policy performance across the stack. | DataPost-train | 9 |
| 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. | DataServe | 9 |
| 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-trainServe | 9 |
| Research Platform Engineer World Labs is seeking a Research Platform Engineer to build and maintain the critical systems supporting their AI research. This senior role involves designing, developing, and shipping code for training and data infrastructure, productionizing models for serving, optimizing inference, and enhancing research velocity and developer experience. The ideal candidate has strong distributed systems foundations, performance optimization skills, and experience working with ML researchers. | ServeData | 8 |
| Research Engineer / Scientist (SLAM) World Labs is seeking a SLAM Specialist to design, implement, and advance state-of-the-art simultaneous localization and mapping systems for their spatial intelligence and world modeling AI. This role involves modern SLAM techniques, sensor fusion, and state estimation, with an emphasis on combining classical geometry with machine learning for production-ready capabilities. | AgentData | 8 |
| Pipeline Engineer (Graphics/3D) World Labs is seeking a Pipeline Engineer to build a production-grade web application for 3D Gaussian Splat scene generation, editing, and publishing. This role bridges R&D and frontend, focusing on backend services, APIs, and tooling to integrate research features into a reliable and scalable system. The ideal candidate has a strong pipeline mindset, fluency in the 3D ecosystem, and experience turning prototypes into production-ready systems. | Serve | 7 |