Robotics Applied Scientist
Field AI
Robotics Applied Scientist
Field AI
Builds AI that guides robots through changing sites
Formulate the active perception problem for inspection and a broad range of robot behaviors
Develop viewpoint planning policies for active information gathering
Research calibrated confidence and abstention for vision-language reasoning on the robot
Own the research and development work through to the real-world experiments that prove feasibility and deployability
Investigate and shape the technical roadmap, aligning real-world needs with technical development
Mentor junior team members and collaborators
PhD in robotics, computer science, electrical engineering, aerospace engineering, mechanical engineering, or a related field, with publications at top venues such as RSS, CoRL, ICRA, IROS, T-FR, T-RO, CVPR, NeurIPS, or similar.
Research experience in active perception, informative path planning, vision-language models, or semantic mapping for exploration.
Hands-on work with vision-language or foundation models for robot perception, plus the physical principles governing them.
Fluency in Python and the ability to run your methods on real robots with C++ and ROS 2.
A principled fluency with uncertainty: Bayesian or information-theoretic planning, calibration, and conformal methods
Real-robot experience in the wild
Work on metric-semantic scene graphs, open-vocabulary mapping, or spatio-temporal scene representations.
Experience fine-tuning or deploying compact VLMs on edge computers
Exposure to robotic industrial inspection workflows
Field AI builds autonomy software that lets mobile robots inspect and work in changing environments, including construction sites and industrial facilities. Its Field Foundation Models act as a shared control system for different machines, bringing perception, navigation and task planning together on the robot. Cameras and other sensors feed the system, while the platform sends site data into customers' project tools to track progress, record conditions and identify deviations from plans. The company sells commercial autonomy solutions and deployment services, integrating its software with robot manufacturers' equipment. Field AI was founded in 2023 and is headquartered in Irvine, California.
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