LinkedIn profile review shows Thinking Machines Lab has been hiring more researchers from Meta than from any other employer; TML's headcount now stands at ~140
Weiyao Wang spent eight years at Meta — his first job out of college — helping build multimodal perception systems and contributing …
Context & Ripple Effects
Thinking Machines Lab’s growth follows a turbulent period in which reports said Meta explored an acquisition and TML’s CTO was discussing a possible return to OpenAI. Two founding-team members were also reported to have moved from TML to Meta.
The new profile review adds an inverse flow: Meta is now the largest identified prior employer among TML’s research hires, even as Meta has built a tightly controlled TBD Lab and recruited for its superintelligence effort.
First-order effects
- TML has expanded to roughly 140 people, with Meta serving as its largest disclosed source of research talent in the review.
- Meta loses researchers with experience in areas such as multimodal perception to a rival frontier lab, while TML adds people whose prior work was developed inside Meta’s AI organization.
Second-order effects
- The two labs’ talent competition becomes more visibly two-way: Meta has gained former TML founders, while TML is drawing from Meta’s researcher base.
- Recruiting and retention pressure rises for both organizations, particularly for researchers whose experience maps to multimodal and frontier-model work.
Third-order effects
- If this churn persists, the boundary between large-platform AI teams and independent frontier labs will look increasingly like a shared, highly contestable talent market rather than separate pipelines.
- The episode also suggests that organizational instability need not halt a lab’s hiring; its ability to keep attracting experienced researchers may become a key test of its durability.
The trend: This is one data point in the intensifying competition between platform companies and independent frontier labs for a limited pool of experienced AI researchers.