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Field AI

Builds AI that guides robots through changing sites

Robotics Applied Scientist - Active Perception

Robotics & Autonomous Systems +1Confirmed live in the last 24 hours
Full-timeIrvine, CA, USANo salary listedIn-person

About the Job

Requirements

  • A 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 methods on real robots with C++ and ROS 2.
  • A principled understanding of uncertainty, including Bayesian or information-theoretic planning, calibration, and conformal methods.

Responsibilities

  • 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 research and development work through 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.

Desired Qualifications

  • 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 vision-language models on edge computers.
  • Exposure to robotic industrial inspection workflows.

About the Company

Field AI

Builds AI that guides robots through changing sites

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.

Company size
201-500
Company stage
Late Stage VC
Total funding
$1.1B
Headquarters
Irvine, CA
Founded
2023

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