3D Tech Lead San Francisco

At World Labs, we’re building Large World Models—AI systems that understand, reason about, and interact with the physical world. Our work sits at the frontier of spatial intelligence, robotics, and multimodal AI, with the goal of enabling machines to perceive and operate in complex real‑world environments.

We’re assembling a global team of researchers, engineers, and builders to push beyond today’s limitations in artificial intelligence. If you’re excited to work on foundational technology that will redefine how machines understand the world—and how people interact with AI—this role is for you.

World Labs is an AI research and development company focused on creating spatially intelligent systems that can model, reason, and act in the real world. We believe the next generation of AI will not live only in text or pixels, but in three-dimensional, dynamic environments
—and we are building the core models to make that possible.

Our team brings together expertise across machine learning, robotics, computer vision, simulation, and systems engineering. We operate with the urgency of a startup and the ambition of a research lab, tackling long‑horizon problems that demand creativity, rigor, and resilience.

Everything we do is in service of building the most capable world models possible—and using them to empower people, industries, and society.

We’re looking for a Tech Lead for 3D Modeling & Reconstruction to set technical direction and drive execution for our core 3D modeling efforts. This hands‑on leadership role blends deep technical expertise with the ability to guide a high‑impact team, shaping both the research roadmap and the production systems that bring modern 3D modeling methods into real‑world products. You’ll work closely with research, engineering, and product partners to translate cutting‑edge ideas into reliable, scalable capabilities.

• Set the technical vision and roadmap for 3D modeling and reconstruction, balancing research exploration with product‑driven milestones.
• Lead the design and implementation of state‑of‑the‑art 3D modeling systems, spanning geometry, appearance, and scene‑level representations.
• Drive innovation in modern 3D modeling approaches, including learning‑based and optimization‑based methods, with an eye toward robustness, scalability, and real‑world data.
• Guide architectural decisions around 3D representations, training pipelines, and inference systems, ensuring they integrate cleanly with broader 3D data and rendering platforms.
• Lead and mentor a small team of research scientists and/or research engineers: providing technical guidance, setting high standards, and fostering a culture of rigor and ownership.
• Own end‑to‑end execution of key initiatives, from early research prototypes through production deployment and iteration.
• Collaborate closely with cross‑functional partners to align 3D modeling capabilities with product needs, timelines, and quality bars.
• Represent the team and its work internally and externally, including contributing to publications, technical talks, or open‑source efforts where appropriate.
• Continuously evaluate emerging research and industry trends in 3D modeling and reconstruction, and translate the most promising ideas into actionable plans.

• 8+ years of experience in 3D reconstruction, 3D modeling, computer vision, graphics, or closely related fields.
• A strong track record of impactful contributions to the field, demonstrated through academic publications, influential open‑source work, or widely deployed industry products.
• Deep expertise in modern 3D modeling and reconstruction methods, including representation design, optimization strategies, and learning‑based approaches.
• Proven experience leading or mentoring a small team, lab, or project group, with responsibility for technical direction and delivery.
  
  Strong programming skills in Python and/or C++, with experience building both research prototypes and production‑quality systems.
• Hands‑on experience with machine learning frameworks and large‑scale experimentation or training pipelines.
• Solid understanding of how 3D modeling systems interface…