Thinking Machines Lab
Thinking Machines Lab is an artificial intelligence research and product company. It aims to make AI systems more widely understood, customizable, and generally capable. The company focuses on human-AI collaboration and building multimodal systems that adapt to various human expertise.
San Francisco, CA, USA200 people
53 open roles
All teams53Core Engineering17Operations6Security & IT6Research14Research Infrastructure (ML Infrastructure and Training Stack)5Policy2Product Management3
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Research Infrastructure (ML Infrastructure and Training Stack) · San Francisco · Onsite
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Research Infrastructure (ML Infrastructure and Training Stack) · San Francisco · Onsite
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Research Infrastructure (ML Infrastructure and Training Stack) · San Francisco · Onsite
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Research Infrastructure (ML Infrastructure and Training Stack) · San Francisco · Onsite
Salary not postedApplyResearch Infrastructure (ML Infrastructure and Training Stack) · San Francisco · Onsite
Salary not postedApplyRoles are read from Thinking Machines Lab’s Ashby every hour and disappear here as soon as they close there.
Thinking Machines Lab hiring insights
Counted from every role read from its board, compared with every startup listed on firsthires.live.
Key findings
- Thinking Machines Lab has the 65th most open roles of 2,940 startups hiring on firsthires.live.
- 53 open roles is 5.3× the average hiring startup (10.1).
- 55% of openings are in Engineering, then Other (23%).
- Most roles are mid level (92%). None are tagged for graduates or interns.
- With a team of about 200, these openings would grow headcount by up to 27%.
- 0% of its roles post pay, against 42% across all listed startups.
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- 0% of its roles are fully remote (market: 23%).
- 53 postings say they sponsor visas.
- 53 roles added in the last 30 days; 0 closed in the last 90.
- A typical open listing here is 58 days old, against 2 months across the site.
Hiring momentum
Momentum scoreToo little data
50 is flat. Blends the 4-week change, the 12-week trend and net roles added.
- Added, last 4 weeks
- 00%
- vs 0 in the 4 weeks before
- Added last week
- 00%
- Week before: 0
- Weekly trend
- +0.00
- Roles/week, per week · R² 0.00
- Net roles, 4 weeks
- +0
- 0 added − 0 closed
- Forecast this week
- 0
- Holt exponential smoothing
- Average week
- 0.0
- σ 0.0 · CV —
- 4-week refresh rate
- 0%
- New roles ÷ open roles
- 4-week churn
- 0%
- Closed roles ÷ open roles
- Median time listed
- >90 days
- 0% close within 30 days
Week of 3 AugThis week (so far)
Momentum, explained
- Thinking Machines Lab hasn’t added enough roles in the last few months to read a trend yet.
Hiring history
- Roles ever listed here
- 53
- Roles added in 30 days
- 53
- Roles added in 90 days
- 53
- Roles closed in 90 days
- 0
- Tracked since
- Oct 2026
- Rank by open roles
- #65
- of 2,940 hiring startups
- Openings per current employee
- 0.27
Volume and freshness
- Open roles
- 53
- Listed in the last 7 days
- 6
- 11% of open roles
- Listed in the last 30 days
- 15
- 28% of open roles
- Typical listing age
- 58 days
- Oldest: 4 months
Pay
- Roles that post pay
- 0%
- 0 of 53
- Mention equity
- 0%
Work, level and access
- Fully remote
- 0%
- Say they sponsor visas
- 53
- Graduate and intern roles
- 0
- Median experience asked
- 6 yrs
- 1 ask a year or less
Breakdowns
53
MayJunJulAugSeptOct
By the month firsthires.live first saw each role.
- 1Engineering2955%
- 2Other1223%
- 3People48%
- 4Product48%
- 5Operations24%
- 6Data12%
- 7Design12%
- 1Mid level4992%
- 2Manager48%
- 1Onsite53100%
- 1San Francisco5298%
- 2New York12%
- 1Full-time53100%
- 1Core Engineering1732%
- 2Research1426%
- 3Operations611%
- 4Security & IT611%
- 5Research Infrastructure (ML Infrastructure and Training Stack)59%
- 6Product Management36%
- 7Policy24%
Pay is each role’s posted range converted to annual US dollars, midpoint. See every Thinking Machines Lab role.