Teams at FieldAI

Deploys, integrates, troubleshoots, and maintains autonomous robotic systems in customer environments. Analyzes field feedback, improves system reliability, builds monitoring and diagnostic tools, trains customer operators, and collaborates with software, hardware, AI research, product, and engineering teams to scale deployment practices.

Develop and train whole-body loco-manipulation policies for humanoid robots, deploy learned behaviors to physical hardware, improve motion retargeting and simulation fidelity, and build scalable evaluation and robot-learning infrastructure. The role bridges research and production engineering across reinforcement learning, simulation, control, perception, and hardware deployment.

Conduct research on humanoid manipulation, loco-manipulation, perception, planning, and control. Design and evaluate robotic systems in simulation or hardware, support robotics foundation-model data pipelines, and integrate manipulation data into learning frameworks. Collaborate with researchers, engineers, teleoperators, and field teams on hardware bring-up and autonomy goals. Contribute to academic publications and conference presentations.