Technical Recruiter

World Labs•San Francisco, CA

About The Position

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. About World Labs: 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. Role Overview We’re looking for a Technical Recruiter / Research Talent Sourcer to join World Labs and help us build a world-class research and engineering team. In this role, you will own and scale our technical recruiting and sourcing systems, with a particular focus on identifying and engaging top-tier AI researchers and engineers from leading universities and industry labs. This is a highly operational, systems-driven role that also demands creativity, intuition, and deep curiosity about the AI research ecosystem. You will work closely with founders, research leaders, and hiring managers to translate ambitious research goals into exceptional hires.

Requirements

3+ years of experience in technical recruiting or sourcing, with a strong focus on AI, ML, robotics, or adjacent deep-tech domains
Demonstrated ability to build and maintain highly organized recruiting systems and processes
Strong data discipline: comfortable working with pipelines, metrics, and structured tracking to drive decisions
Solid understanding of the AI research landscape, including top universities, labs, conferences, and industry research teams
Experience sourcing passive, highly competitive candidates
Excellent written and verbal communication skills
Ability to operate effectively in fast-moving, ambiguous environments

Nice To Haves

Recruiting or sourcing for research-heavy organizations or frontier AI labs
Familiarity with academic research signals (publications, citations, arXiv, conferences such as NeurIPS, ICML, ICLR, CVPR, RSS, etc.)
Experience hiring PhD-level researchers or highly specialized engineers
Background in startup environments or early-stage team building
Experience with advanced sourcing tools, automation, or custom workflows

Responsibilities

Design, build, and continuously improve recruiting and sourcing systems, processes, and tooling with an emphasis on rigor, accuracy, and scalability
Proactively source researchers and engineers from top universities, AI labs, and leading technology companies across ML, robotics, computer vision, and related fields
Maintain exceptionally high-quality candidate data, pipelines, and documentation across ATS and internal tracking systems
Develop creative sourcing strategies using publications, citations, open-source work, conference participation, academic networks, and referrals
Partner closely with research and engineering leaders to deeply understand technical needs, evolving skill requirements, and long-term talent strategy
Own candidate experience end-to-end, ensuring thoughtful, timely, and highly professional communication
Analyze recruiting metrics and pipeline data to identify gaps, improve efficiency, and inform hiring decisions
Support interview coordination and hiring operations as needed to keep processes running smoothly and predictably