- Location
- San Francisco, California, United States
- Workplace
- Hybrid
- Employment
- Full time
- Level
- Mid level
- Posted
- 4 August
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 Recruiting Sourcer to build the pipeline of exceptional research and engineering talent that will define the next generation of AI. You'll partner closely with recruiters, hiring managers, and our technical leaders to identify, engage, and build relationships with candidates across research, engineering, and infrastructure.
This role is foundational to our growth. You'll need to think creatively about where to find rare technical talent, craft outreach that resonates with researchers and engineers who aren't actively looking, and help us build a sourcing function from the ground up at a fast-moving startup.
What You’ll Do
Build and manage a pipeline of candidates across research, engineering, and infrastructure roles, using creative and diverse sourcing channels
Partner with recruiters and hiring managers to deeply understand role requirements and translate them into effective sourcing strategies
Write and send personalized outreach that engages passive candidates, including senior researchers and engineers
Track pipeline metrics and sourcing effectiveness, and iterate on strategy based on what's working
Represent Thinking Machines' mission and culture authentically to prospective candidates throughout the sourcing process
Help build and refine our sourcing tools, processes, and infrastructure as the team scales
Skills and Qualifications
Minimum qualifications:
3+ years of sourcing or recruiting experience, ideally supporting technical roles in AI labs or tech startups
Track record of successfully identifying and engaging passive technical candidates, including researchers and engineers
Excellent written communication skills, with the ability to craft compelling, personalized outreach
Preferred qualifications:
Familiarity with the AI/ML research landscape, including key labs, conferences, and communities
Experience using sourcing tools and platforms (e.g., LinkedIn Recruiter, GitHub, 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
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 published by Thinking Machines Lab. Applications are handled on their site.
Skills this posting mentions
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 53 openings at Thinking Machines LabOne click, then it is written
Apply to Thinking Machines Lab with a resume written for this role.
Queue Technical Sourcer 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.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
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.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
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.
Free, no card. Up to 25 applications sent a week, and 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.
Hiring at Thinking Machines Lab? Post this role to the Refolk talent pool for $299, once. No commission, refunded if I find nobody. Post a role for $299