Technical Recruiter

World Labs World Labs · AI Frontier · San Francisco, CA · Operations

Technical Recruiter / Research Talent Sourcer for an AI company focused on building foundational world models. The role involves scaling technical recruiting and sourcing systems, identifying top-tier AI researchers and engineers, and partnering with leadership to translate research goals into hires.

What you'd actually do

  1. Design, build, and continuously improve recruiting and sourcing systems, processes, and tooling with an emphasis on rigor, accuracy, and scalability
  2. Proactively source researchers and engineers from top universities, AI labs, and leading technology companies across ML, robotics, computer vision, and related fields
  3. Maintain exceptionally high-quality candidate data, pipelines, and documentation across ATS and internal tracking systems
  4. Develop creative sourcing strategies using publications, citations, open-source work, conference participation, academic networks, and referrals
  5. Partner closely with research and engineering leaders to deeply understand technical needs, evolving skill requirements, and long-term talent strategy

Skills

Required

  • 3+ years of experience in technical recruiting or sourcing
  • 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 have

  • 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

What the JD emphasized

  • strong focus on AI, ML, robotics, or adjacent deep-tech domains
  • build and maintain highly organized recruiting systems and processes
  • Solid understanding of the AI research landscape