Embodied AI Research Scientist; Humanoid Robotics

About Theta Intelligence

Theta Intelligence is building next-generation humanoid robots powered by advanced embodied intelligence and foundation models. Our mission: robots that understand, reason, and act autonomously in complex real-world environments

We're looking for a highly motivated Embodied AI Research Scientist to push the frontier of Vision‑Language‑Action (VLA) Models, World Models, and foundation models for humanoid robotics. You'll work at the intersection of robotics, multimodal AI, and large‑scale learning systems — building the end‑to‑end intelligence that lets robots perceive, reason, and act in the physical work

• Research, develop, and optimize embodied AI models — including Vision‑Language Models (VLMs), Vision‑Language‑Action (VLA) Models, and World Models.
• Build end‑to‑end learning systems connecting perception, reasoning, planning, and action.
• Develop foundation models that improve robot autonomy, adaptability, and task execution in real‑world environments.
• Partner with robotics teams to integrate AI models with perception, navigation, manipulation, and motion‑control systems.
• Shape technical strategy and drive key research initiatives in embodied intelligence and robot foundation models.

• MS or PhD in Computer Science, AI, Robotics, Machine Learning, or a related fields
• Deep expertise in one or more of: VLMs, VLA Models, World Models, Reinforcement Learning, Embodied AI, Robot Learning.
• Hands‑on experience developing large‑scale AI models, multimodal learning systems, or robotic learning frameworks.
• Strong proficiency in Python and PyTorch.

• Publications at top‑tier venues (NeurIPS, ICLR, CVPR, ICCV, ICRA, CoRL).
• Experience with Robot Foundation Models, VLA systems, or World Models and track record deploying AI models on physical robotic platforms.
• Strong research portfolio — publications, patents, open‑source contributions, or high‑impact projects.

• Work on frontier research in embodied intelligence and humanoid robotics.
• Build foundation models that directly power real‑world robotic systems.
• Collaborate with a world‑class multidisciplinary team across AI, robotics, and systems engineering.
• Help define the future of general‑purpose intelligent robots.