About This Role Why You Should Join • You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well. • You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to "fix" it. • You don't need someone to motivate you; you get things done. Why are We Hiring for this Role: • We are building a general-purpose humanoid that must understand and navigate the physical world - and that requires a dedicated engineer to architect the internal models that make that possible • World models are the cognitive backbone of our robot; without them, the humanoid cannot plan, predict, or adapt to novel environments • We are at an inflection point where our hardware is ready - now we need the intelligence layer to match it • The gap between a robot that executes fixed commands and one that truly reasons about its environment is a world model; we are hiring to close that gap • As we scale to real-world deployment, our humanoid needs to generalize across unstructured, unpredictable settings - something only a robust world model can enable • This hire will directly shape the core intelligence architecture of our platform before it becomes locked in at scale What Kind of person are we looking for • Hands-on experience building world models, model-based RL, or predictive world simulators using frameworks like PyTorch or JAX - you have shipped these systems, not just studied them • Strong foundation in deep learning architectures relevant to world modeling: transformers, diffusion models, neural radiance fields (NeRF), and variational recurrent state-space models • Proficient in Python as a primary research and development language, with production-level familiarity in C++ for latency-sensitive inference and real-time robotics integration • Experience with robotics middleware and simulation environments - ROS2, Isaac Sim, MuJoCo - and the ability to close the sim-to-real gap in learned representations • Experience with video prediction or future-frame generation models (e.g., RSSM, DreamerV3, UniSim, Genie) is a strong plus • Able to read and implement from recent arXiv papers with minimal overhead - you are comfortable turning a research prototype into a tested, integrated syste