Lead Reinforcement Learning Engineer - Humanoid (human)

As Lead Reinforcement Learning Engineer, you will define and execute NEURA Robotics' strategy for learning-based humanoid control. You will lead a team of reinforcement learning engineers and researchers, driving the development of next-generation locomotion, manipulation, and whole-body control capabilities for the 4NE1 humanoid platform.

You will be responsible for translating cutting-edge research into robust, production-ready systems that enable autonomous, adaptable, and commercially deployable humanoid robots. Working closely with executive leadership, product teams, controls engineers, perception specialists, and hardware teams, you will shape the future of cognitive robotics at scale.

Your mission & challenges

• Define and drive the strategic roadmap for learning-based humanoid behaviors, spanning reinforcement learning, imitation learning, behavior cloning, and foundation-model-powered robotics.

• Lead the development and deployment of advanced control policies for locomotion, loco-manipulation, and whole-body motion on the 4NE1 humanoid platform.

• Establish scalable frameworks, processes, and quality standards for training, validating, and operating learning-based systems.