Jobs at UMA

As a Research Scientist/Engineer Intern, you will contribute to building learning-based control systems for humanoid robots and work on reinforcement learning and real-world applications while collaborating with the founding team to advance robotics technology.

As a Robotic Teleoperator, you will remotely pilot robots during tests, collect data for AI enhancement, monitor robot actions, and collaborate with engineers for improvements.

Build and test humanoid robot hardware while integrating mechanical systems and custom electronics, focusing on performance and reliability improvements.

Lead research on world models, planning, and reasoning for humanoid robots. Design and run experiments in simulation and on hardware, own data processing, model training, evaluation, and integration with control stacks, and document and mentor engineers to ship real-world capabilities.

Lead design and operation of a production-scale data platform for robotics: capture, storage, versioning, high-throughput training pipelines, dataset production from RL/continuous loops, tooling for visualization and debugging, and growth of compute/training infrastructure to keep GPUs fed and enable a continuous data-to-model loop.

Implement and reproduce state-of-the-art world-model baselines, build training/data/evaluation pipelines, run latent-space planning and MPC experiments in simulation and on humanoid robots, and scale and debug distributed GPU training to keep experiments reproducible and logged.

Provide high-trust executive support to the CEO: manage calendar, communications, meeting coordination, follow-ups, administrative tasks, and use AI/automation to streamline workflows while maintaining discretion.

Develop and implement learning-based control systems for humanoid robots, using reinforcement learning and other techniques, while optimizing performance and conducting experiments.

This open candidate position invites individuals passionate about Robotics and AI to propose innovative ideas and solutions in a fast-paced startup environment.