Meta's Loss, Thinking Machines' Gain: AI Talent War Heats Up

Thinking Machines Lab (TML), a rapidly expanding AI startup, is making significant waves in the tech industry by aggressively recruiting top-tier talent, particularly from Meta. The latest high-profile additions include Weiyao Wang, who spent eight years at Meta building multimodal perception systems and contributing to open-world segmentation projects like SAM3D, and Kenneth Li, a Harvard PhD who joined TML after a brief stint at Meta. These moves underscore a fierce talent war between established tech giants and agile AI startups. TML's strategic growth extends beyond talent acquisition. The company recently secured a multibillion-dollar cloud deal with Google, granting it early access to Nvidia's cutting-edge GB300 chips, positioning it as one of the first startups to leverage this advanced hardware. This agreement, announced at Google Cloud Next, follows an earlier partnership with Nvidia and places TML in the same elite infrastructure tier as AI heavyweights like Anthropic and Meta. Interestingly, Meta reportedly explored acquiring TML last year and has more recently been poaching some of its founding members, highlighting the intense competition for AI innovation and expertise. The flow of talent from Meta to TML is particularly notable. Soumith Chintala, TML's CTO, a pivotal figure who spent 11 years at Meta and co-founded PyTorch – the open-source deep learning framework underpinning most global AI research – left Meta in late 2025 to take on his current role. Piotr Dollár, another 11-year Meta veteran and research director who co-authored the influential Segment Anything model, has also joined TML's technical staff. Andrea Madotto, a research scientist from Meta's FAIR division focusing on multimodal language models, and James Sun, a software engineer with nearly nine years at Meta working on LLM pre- and post-training, further exemplify this talent migration. TML's appeal isn't limited to Meta alumni. The startup has successfully attracted talent from a diverse range of leading tech companies. Neal Wu, a three-time gold medalist at the International Olympiad in Informatics and a founding member of the coding startup Cognition, joined early this year. Jeffrey Tao arrived from Waymo, Windsurf, and OpenAI, while Muhammad Maaz previously held a research fellowship at Anthropic. Erik Wijmans came from Apple, and Liliang Ren, who spent two and a half years on Microsoft's AI Superintelligence team pre-training OpenAI models for code, joined in March. The startup's headcount now stands at approximately 140, reflecting its rapid expansion. For researchers weighing their career options, the decision to join TML, even with Meta's well-known seven-figure pay packages, appears to be driven by significant financial upside and the opportunity to shape the future of AI. Thinking Machines Lab is currently valued at an impressive $12 billion. While this valuation might seem extraordinary for a company at its current stage, especially having released only one product so far, it still offers substantial growth potential when compared to the record-breaking valuations of industry leaders like OpenAI and Anthropic, making it an attractive destination for top AI minds seeking impact and long-term value.