💡 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!
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