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Technical Recruiter

Thinking Machines Lab · San Francisco, California

Location
San Francisco, California, United States
Employment
Full time
Level
Mid level
Posted
Last week

About this role

About Thinking Machines

The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.

About the Role

We're hiring a Technical Recruiter, to lead full-cycle recruiting for the infrastructure eams building and operating the systems behind our frontier model training and Tinker's platform - including cluster and network engineering, distributed systems, and site reliability. You'll partner closely with infrastructure leaders and engineers to understand niche hiring needs and translate them into sourcing strategies, calibrated interview loops, and craft a closing process that lands top candidates in a competitive market.

This is a high-ownership role at a company where infrastructure is the foundation of everything we ship. You'll need to go deep enough on distributed training, networking, and cluster orchestration to evaluate technical signal yourself, not just pattern-match keywords, and to speak credibly with the engineers you're recruiting.

What You’ll Do

  • Own full-cycle recruiting - sourcing, screening, interview coordination, and closing - for infrastructure, systems, and networking roles.

  • Partner directly with hiring managers and technical leaders on role scoping and interview loop design

  • Build and run proactive sourcing strategies and outbound campaigns to reach passive, highly specialized infrastructure talent

  • Serve as a subject matter expert across distributed training, cluster networking, Kubernetes/container orchestration, and systems programming languages, with the ability to speak to the team's work in depth while assessing candidates

  • Calibrate talent bar alongside engineering leaders and help interviewers give clear, well-supported feedback

  • Manage a high-touch candidate experience and act as a trusted advisor to candidates through offer and close

  • Track pipeline health and hiring metrics, and use that data to continuously improve the hiring process

  • Help build the recruiting playbooks, tools, and processes that will scale as the infrastructure org grows

Skills & Qualifications

Minimum Qualifications

  • 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

Preferred Qualifications

  • 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

Logistics

  • Location: This role is based in San Francisco, CA.

  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $200,000 - $275,000 USD.

  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.

  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.

As published by Thinking Machines Lab. Applications are handled on their site.

Skills this posting mentions

KubernetesTechnical RecruitingSourcing

About Thinking Machines Lab

Thinking Machines Lab is an artificial intelligence research and product company. We’re building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.

All 49 openings at Thinking Machines Lab

One click, then it is written

Apply to Thinking Machines Lab with a resume written for this role.

Queue Technical Recruiter and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Thinking Machines Lab’s form for you.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • 25 sent a week, free
  • No card
  • Nothing sent until you say so

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Put this to work

Paste your career in once. Every application after that is written for you.

Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • New matches ranked and written before you are up.
  • Every bullet stays inside what your history supports. Nothing invented.
  • Queued, submitted, interviewing, offer: one screen, not a spreadsheet.

500 free credits on sign-up. No card. Nothing is sent until you say so.

Listed from the job board Thinking Machines Lab publishes. Refolk is not the employer and does not handle their hiring. Applications go to Thinking Machines Lab directly.