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Thinking Machines Lab

Researches AI and builds tools to customize models

Technical Sourcer

Technical RecruitingConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 3 years of sourcing or recruiting experience, ideally supporting technical roles in AI labs or technology startups.
  • A track record of successfully identifying and engaging passive technical candidates, including researchers and engineers.
  • Excellent written communication skills and the ability to craft compelling, personalized outreach.

Responsibilities

  • Build and manage a candidate pipeline across research, engineering, and infrastructure roles using creative and diverse sourcing channels.
  • Partner with recruiters and hiring managers to understand role requirements and translate them into effective sourcing strategies.
  • Write and send personalized outreach to engage passive candidates, including senior researchers and engineers.
  • Track pipeline metrics and sourcing effectiveness, and iterate on strategy based on results.
  • Represent the company's mission and culture authentically to prospective candidates throughout the sourcing process.
  • Help build and refine sourcing tools, processes, and infrastructure as the team scales.

Desired Qualifications

  • Familiarity with the AI and machine learning research landscape, including key labs, conferences, and communities.
  • Experience using sourcing tools and platforms such as LinkedIn Recruiter, GitHub, and academic search tools.
  • Experience building sourcing processes and infrastructure at an early-stage or fast-scaling company.
  • Comfort operating with significant autonomy and adapting quickly as priorities shift.

About the Company

Thinking Machines Lab

Researches AI and builds tools to customize models

Thinking Machines Lab researches and builds AI systems, aiming to make AI more widely understood, customizable, and capable. It publishes much of its research openly on its Connectionism blog, starting with work on making AI models give consistent answers to the same question. Its first product, Tinker, lets researchers and developers fine-tune open-weight AI models on their own data while Thinking Machines runs the computing clusters behind it, so customers focus on their data and training methods instead of managing hardware and pay for the computing they use. Former OpenAI chief technology officer Mira Murati founded the lab in 2025, and it is based in San Francisco.

Company size
201-500
Company stage
Series A
Total funding
$7B
Headquarters
San Francisco, CA
Founded
2024

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