The competitive landscape of artificial intelligence (AI) is heating up, and the battle for top talent is fiercer than ever. A prime example is Weiyao Wang, a distinguished engineer who recently departed Meta after an eight-year tenure, now joining the rapidly ascending Thinking Machines Lab (TML). This move underscores a fascinating trend: an active talent exchange between established tech giants and innovative AI startups.
During his time at Meta, Wang was instrumental in developing multimodal perception systems and made significant contributions to open-world segmentation projects, including the notable SAM3D. His transition to TML last week signals a major win for the burgeoning AI startup. It’s a clear indication of TML’s aggressive strategy to attract leading minds in the field.
Thinking Machines Lab: Powering Up with Google and Nvidia
Thinking Machines Lab isn’t just growing its talent pool; it’s also making massive strides in its infrastructure. The company recently secured a multi-billion dollar cloud deal with Google, granting it early access to Nvidia’s cutting-edge GB300 chips. This significant partnership, announced at Google Cloud Next, positions TML as one of the very first startups to harness this advanced hardware.
This strategic agreement follows an earlier partnership with Nvidia, effectively placing TML in the same elite infrastructure tier as AI heavyweights like Anthropic and even Meta itself. Such moves highlight TML’s ambition and its impressive $12 billion valuation, an unprecedented figure for a company at this stage.
Don’t miss out on industry insights and networking at the first StrictlyVC of 2026, happening in San Francisco on April 30. Expect unfiltered fireside chats and valuable VC insights with leaders from Uber, Replit, and Eclipse, among others. Tickets are selling quickly, so register now to secure your spot for high-value connections that truly move the needle!
The Great AI Talent Exchange: Meta vs. TML
The movement of talent between Meta and TML is not a one-way street; it’s a dynamic and intense tug-of-war. While Meta has reportedly poached seven of TML’s founding members, TML has been actively recruiting top researchers from Meta in return. In fact, a review of LinkedIn profiles suggests TML has been hiring more researchers from Meta than from any other single employer.
Leading this impressive influx is Soumith Chintala, TML’s CTO, who spent 11 years at Meta and is renowned as the co-founder of PyTorch. This open-source deep learning framework now underpins the vast majority of the world’s AI research. Chintala’s departure from Meta in late 2025 and subsequent appointment as TML’s CTO earlier this year represent a monumental gain for the startup.
Other significant Meta veterans have also joined the TML ranks. Piotr Dollár, an 11-year Meta veteran and research director who co-authored the influential Segment Anything model, is now on TML’s technical staff. Andrea Madotto, a research scientist from Meta’s FAIR division specializing in multimodal language models, made the switch in December. Furthermore, James Sun, a software engineer with nearly nine years at Meta focusing on LLM pre- and post-training, has also brought his expertise to TML.
Beyond Meta: A Broad Spectrum of AI Innovators
Thinking Machines Lab’s talent acquisition strategy extends far beyond Meta, drawing from a diverse pool of industry leaders. This year, the startup welcomed Neal Wu, a three-time gold medalist at the International Olympiad in Informatics and a founding member of the high-profile coding startup Cognition. Jeffrey Tao, with experience from Waymo, Windsurf, and OpenAI, also joined the team, further enriching TML’s multidisciplinary expertise.
The impressive roster continues with Muhammad Maaz, who previously held a research fellowship at Anthropic, and Erik Wijmans, an Apple alumnus. Liliang Ren, who spent two and a half years on Microsoft’s AI Superintelligence team pre-training OpenAI models for code, joined TML in March. These strategic hires from various tech giants underscore TML’s commitment to assembling a world-class team.
With these continuous high-profile additions, TML’s headcount now stands at approximately 140 employees. The ability of Thinking Machines Lab to attract such a caliber of talent, often from companies known for their lavish compensation, speaks volumes about the startup’s perceived potential. For top researchers, the considerable financial upside of a rapidly growing, high-valuation startup like TML may outweigh even the allure of Meta’s generous offers.
Ready to meet your next investor, discover a groundbreaking startup, or secure your next hire? Join over 10,000 founders, investors, and tech leaders at TechCrunch Disrupt 2026, happening in San Francisco from October 13-15. This three-day event offers over 250 tactical sessions, powerful introductions, and market-defining innovation, providing unparalleled opportunities to elevate your business. Register now to save up to $410!
Source: TechCrunch – AI
