Teams at Thinking Machines Lab

Lead and build Thinking Machines’ product policy function, establishing usage, content, safety, model release, and developer-facing policies. Hire and manage a team, create product and model risk review frameworks, develop decision-making infrastructure, and partner with Research, Product, Trust & Safety, Communications, Public Policy, and Legal. Translate complex AI policy questions into actionable executive recommendations and responsible launch mitigations.

Lead Thinking Machines’ global public policy strategy and build its policy team. Set positions on frontier AI legislation, safety, disclosure, open-weight models, export controls, and national security. Represent the company before legislators, regulators, and industry groups; manage counsel and coalition relationships; and establish internal policy infrastructure supporting research, product, safety, legal, and executive decision-making across U.S., EU, and international jurisdictions.

Lead the Fine-tuning Science team and set the research agenda for frontier model customization and post-training techniques. Conduct hands-on research in LoRA, parameter-efficient fine-tuning, reinforcement learning, and training stability. Hire and mentor researchers, improve large-scale training reliability and efficiency, collaborate across research, infrastructure, and product teams, and represent findings through publications and community contributions.