Technical Recruiter

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.

What You Will Do:

• 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

Key Qualifications:

• 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

Preferred Qualifications:

While not required, experience in one or more of the following is a strong plus:

• 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

Who You Are:

• Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.


• Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.


• Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.


• Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.

We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world, World Labs is your launchpad.

Join us, and let's make history together.

Equal Opportunity & Pay Transparency

Equal Employment Opportunity

World Labs is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law. We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.

California Pay Transparency

In accordance with California law, we disclose the following:

$180,000-$225,000 base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications)

Base salary plus equity awards and annual performance bonus

We do not request or consider prior compensation in making offers

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