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Technical Recruiter

Thinking Machines Lab · San Francisco

CHECKED 11H AGO

Frontier labonsitesenior$200k–$275k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own full-cycle hiring for the infrastructure behind frontier models and Tinker.
  • Partner with infrastructure leaders to shape interview loops and close top talent.
  • Help build recruiting playbooks that scale with a growing infrastructure org.

What they offer

  • Generous health, dental, and vision benefits
  • Unlimited PTO
  • Paid parental leave
  • Relocation support as needed

Ideal candidate

A high-ownership recruiter energized by infrastructure hiring who goes deep to earn engineers' trust and thrives closing specialized talent in competitive markets.

Requirements

  • 4+ years of full-cycle technical recruiting experience, with a track record of hiring for infrastructure, platform, or systems engineering roles
  • Ability to hold a substantive technical conversation about infrastructure domains such as distributed systems, cluster or cloud networking, container orchestration, and systems languages
  • Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design
  • Sound independent judgment on candidate quality, and the ability to manage multiple concurrent searches with minimal oversight
  • Experience recruiting at a high-growth AI, machine learning, or infrastructure-focused technology company
  • Proficiency with an applicant tracking system (e.g., Greenhouse or Ashby) and modern sourcing tools
  • Experience building sourcing strategy or recruiting processes from scratch at an early-stage or fast-scaling team
  • A genuine interest in Thinking Machines' mission and in the role a world-class infrastructure team plays in achieving it
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Lab profile

About Thinking Machines Lab

Builds frontier AI that extends human will and judgment through customizable models and interfaces.

What they build

  • Inkling frontier models
  • Tinker model customization
  • Human-AI communication interfaces

Known for

  • Frontier model training
  • Post-training and reinforcement learning
  • Evaluation infrastructure
  • GPU supercomputing and reliability
More about Thinking Machines Lab →
Apply on the lab’s site ↗