Technical Recruiter

<h2><strong>About World Labs:</strong></h2> <p>We build foundational world models that can perceive, generate, reason, and interact with the 3D world — unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. </p> <p>We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds.</p> <p>We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users.</p> <h2><strong>Role Overview</strong></h2> <p>We’re looking for a <strong>Technical Recruiter / Research Talent Sourcer</strong> 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.</p> <p>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.</p> <h2><strong>What You Will Do:</strong></h2> <ul> <li>Design, build, and continuously improve recruiting and sourcing systems, processes, and tooling with an emphasis on rigor, accuracy, and scalability</li> <li>Proactively source researchers and engineers from top universities, AI labs, and leading technology companies across ML, robotics, computer vision, and related fields</li> <li>Maintain exceptionally high-quality candidate data, pipelines, and documentation across ATS and internal tracking systems</li> <li>Develop creative sourcing strategies using publications, citations, open-source work, conference participation, academic networks, and referrals</li> <li>Partner closely with research and engineering leaders to deeply understand technical needs, evolving skill requirements, and long-term talent strategy</li> <li>Own candidate experience end-to-end, ensuring thoughtful, timely, and highly professional communication</li> <li>Analyze recruiting metrics and pipeline data to identify gaps, improve efficiency, and inform hiring decisions</li> <li>Support interview coordination and hiring operations as needed to keep processes running smoothly and predictably<br><br></li> </ul> <h2><strong>Key Qualifications:</strong></h2> <ul> <li>3+ years of experience in technical recruiting or sourcing, with a strong focus on AI, ML, robotics, or adjacent deep-tech domains</li> <li>Demonstrated ability to build and maintain highly organized recruiting systems and processes</li> <li>Strong data discipline: comfortable working with pipelines, metrics, and structured tracking to drive decisions</li> <li>Solid understanding of the AI research landscape, including top universities, labs, conferences, and industry research teams</li> <li>Experience sourcing passive, highly competitive candidates</li> <li>Excellent written and verbal communication skills</li> <li>Ability to operate effectively in fast-moving, ambiguous environments</li> </ul> <h2><strong>Preferred Qualifications:</strong></h2> <p>While not required, experience in one or more of the following is a strong plus:</p> <ul> <li>Recruiting or sourcing for research-heavy organizations or frontier AI labs</li> <li>Familiarity with academic research signals (publications, citations, arXiv, conferences such as NeurIPS, ICML, ICLR, CVPR, RSS, etc.)</li> <li>Experience hiring PhD-level researchers or highly specialized engineers</li> <li>Background in startup environments or early-stage team building</li> <li>Experience with advanced s ... (truncated, view full listing at source)