The agreement, announced this past Tuesday at Google Cloud Next, follows an earlier partnership with Nvidia, and puts TML in the same infrastructure tier as Anthropic and Meta. (Meta reportedly held talks to acquire Thinking Machines around this time last year and has more recently been picking off TML’s founders one by one.)

The talent picture remains fluid. Wang and Kenneth Li — a Harvard PhD who spent 10 months at Meta before joining TML this month — are the latest examples of a talent grab that runs in both directions. Business Insider reported last week that Meta has now poached seven of TML’s founding members. A review of recent hires shows Thinking Machines is raiding Meta right back. At least, it appears based on a review of LinkedIn profiles, that TML has been hiring more researchers from Meta than from any other single employer.

The most prominent is Soumith Chintala, TML’s CTO, who spent 11 years at Meta and co-founded PyTorch, the open source deep learning framework that now underpins most of the world’s AI research. He left Meta in late 2025 and was appointed CTO earlier this year. Piotr Dollár, another 11-year Meta veteran who served as research director and co-authored the influential Segment Anything model, is now on TML’s technical staff. Andrea Madotto, a research scientist in Meta’s FAIR division focused on multimodal language models, joined TML in December. James Sun, a software engineer with nearly nine years at Meta working on LLM pre- and post-training, also made the jump.

TML has drawn talent from beyond Meta, too. Neal Wu — a three-time gold medalist at the International Olympiad in Informatics and a founding member of the buzzy coding startup Cognition — joined early this year. Jeffrey Tao came via Waymo, Windsurf, and OpenAI. Muhammad Maaz previously held a research fellowship at Anthropic. Erik Wijmans arrived from Apple. Liliang Ren spent two and a half years on Microsoft’s AI Superintelligence team pre-training OpenAI models for code before joining in March.