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April 24, 2026 • Connie Loizos

Meta's Talent Drain Fuels Thinking Machines Lab Growth

Meta's Talent Drain Fuels Thinking Machines Lab Growth Meta's Talent Drain Fuels Thinking Machines Lab Growth Meta's Talent Drain Fuels Thinking Machines Lab Growth

Meta’s Loss is Thinking Machines’ Gain

This article details a significant talent migration in the AI sector, specifically focusing on the movement of key researchers from Meta to the AI startup Thinking Machines Lab (TML). This trend is occurring amidst TML's rapid expansion, highlighted by a substantial cloud deal with Google and its strategic positioning alongside industry giants like Anthropic and Meta.

Key Developments:

  • Talent Acquisition: Weiyao Wang, a former Meta researcher with experience in multimodal perception systems, has joined TML. This follows a pattern of TML attracting talent from Meta, with at least seven founding members reportedly poached by Meta, while TML appears to be actively recruiting more researchers from Meta than any other single employer.
  • Prominent Hires: Notable individuals joining TML from Meta include Soumith Chintala (co-founder of PyTorch and TML's CTO), Piotr Dollár (co-author of the Segment Anything model), Andrea Madotto (research scientist in multimodal language models), and James Sun (software engineer focused on LLMs).
  • Broader Talent Pool: TML is also drawing talent from other leading tech companies and AI research labs, including Cognition, Waymo, OpenAI, Anthropic, Apple, and Microsoft.
  • Strategic Partnerships: TML has secured a multibillion-dollar cloud deal with Google, granting access to advanced hardware like Nvidia's GB300 chips. This follows an earlier partnership with Nvidia, placing TML in a similar infrastructure tier as major AI players.
  • Valuation and Growth: TML, with a current headcount of around 140, is valued at $12 billion. Despite having released only one product so far, its rapid growth and strategic moves position it as a significant player in the AI landscape.

Implications:

The article underscores the highly competitive nature of AI talent acquisition. The movement of experienced researchers from established giants like Meta to burgeoning startups like TML suggests a dynamic environment where innovative research and strategic partnerships are driving growth and attracting top-tier talent. The significant valuation of TML, despite its early stage, reflects the immense potential and investment interest in the AI sector.