Senior LLM Research scientist

💡 What if your next role let you push the frontier of LLM planning and tool-use—building agents that don’t just talk about the physical world, but act in it to engineer, experiment, and manufacture autonomously?

🚀 Our client — a hyper–talent-dense physical-AI startup backed by top-tier builders across frontier AI and deep tech — is hiring a Senior LLM Research Scientist (San Francisco / Redwood City, In-Person).

They’re building Physical Superintelligence: AI systems with general physical ability—the capacity to experiment, engineer, or manufacture anything. Instead of only learning from static data, their models generate new data through automated real-world experimentation at massive scale.

The role:

🧠 Develop planning, reasoning, and structured tool-use models that power autonomous engineering agents

🧪 Lead SFT preference optimization work (RLHF / DPO) to push capability and reliability

🛡️ Build verifier-guided RL safety constraints for robust long-horizon agent behavior

🔧 Design tool-calling schemas, recovery logic, and policy constraints so agents can operate real toolchains

🤝 Partner across agent systems, data infra, simulation, and tooling teams to train and evaluate in production workflows

⚙️ High-ownership research systems integration on core models and agent behavior

Why join?

🌍 Real-world impact at national scale—accelerating physical discovery, not just model training

🏭 A uniquely scaled platform for learning with automated experimental facilities generating new feedback loops

💰 Competitive salary meaningful equity

🚀 Tiny, elite team with extremely high technical bar and low ego

🏢 In-person, high-velocity environment split across SF Redwood City

📩 Interested? Apply now!