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Field AI

Builds AI that guides robots through changing sites

Robotics Applied Scientist - Spatio-Temporal Scene Understanding & Memory

AI ResearchConfirmed live in the last 24 hours
ContractIrvine, 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, on scene understanding, semantic SLAM, lifelong or spatio-temporal mapping, world models, or embodied reasoning.
  • Hands-on experience with vision-language or foundation models applied to spatial reasoning, memory, or long-horizon embodied question answering.
  • Depth in 3D representations, including scene graphs, neural or Gaussian-splat maps, or object-centric maps, and the estimation underneath them.
  • Strong Python skills and the ability to run methods on real robots with C++ and ROS 2.
  • Ability to reason about a representation's purpose and evaluation, and comfort with a fast-paced environment where research questions are set by deployment needs.

Responsibilities

  • Investigate an appropriate representation for the robot's mission memory: a persistent spatio-temporal representation of what it saw, where, when, and how it changed across missions and sites, so assets that move, disappear, or degrade are tracked rather than rediscovered.
  • Build world models that let the robot reason and plan over that memory, and recover physical parameters through interaction for physics-aware digital twins.
  • Combine learned and physically grounded models, with geometry and dynamics as the ground truth.
  • Bridge the perception-reasoning gap for long-term autonomy.

Desired Qualifications

  • Change-detection or long-term mapping results from real deployments.
  • Real2Sim, system identification through interaction, or digital-twin work.
  • Experience with behavior trees or task planning driven by language models.
  • Industrial or field robotics exposure.

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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