Artificial Intelligence Engineer

We are working with a well-funded, early-stage startup building the next generation of autonomous intelligence systems - a foundation model that enables machines to see, reason, and act in the real world. This is not traditional AI. The team is developing multimodal (vision–language–action) models that run directly on hardware, powering autonomous systems in complex, real-world environments. The Role You’ll work across: Reinforcement learning & imitation learning for embodied agents Real-time inference on edge systems Memory, reasoning, and multi-agent coordination What They’re Looking For Strong background in ML/AI (CV, RL, or multimodal models) Experience building and deploying real systems, not just research Proficiency in Python + PyTorch/TensorFlow (bonus: CUDA/JAX) Interest in robotics, autonomy, or embodied AI Why This Is Interesting Small, elite team tackling one of the hardest problems in AI Opportunity to build a robotic foundation model from the ground up Work that moves from research → real-world deployment #J-18808-Ljbffr Harrison Clarke