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Field AI

Builds AI that guides robots through changing sites

Robotics Software Engineer - Mission Evaluation & Fine-Tuning

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeIrvine, CA, USANo salary listedIn-person

About the Job

Requirements

  • A Master of Science in computer science, robotics, aerospace engineering, or a related field, with at least 3 years of experience in robotics or machine learning engineering.
  • Strong Python skills, working knowledge of C++, and familiarity with ROS 2 logs, bags, and replay tooling.
  • Experience evaluating and fine-tuning vision or vision-language models, including PyTorch, LoRA or similar methods, and building the datasets and metrics behind them.
  • Statistical rigor, including distinguishing benchmark results from field results and designing experiments to distinguish them.
  • Data pipeline skills to move evidence from robots to training sets and dashboards.

Responsibilities

  • Own the end-to-end inspection behavior success metric.
  • Build the evaluation loop, including golden-labeled datasets, seeded-fault runs, and regression suites at feature, system, and release level that gate every release candidate.
  • Turn field evidence into training and evaluation sets.
  • Map technical performance to the metrics measured by the customer.
  • Triage mission logs, attribute each miss to navigation, localization, perception, or behavior, and route it to the owning team with evidence.

Desired Qualifications

  • Authored or maintained a robotics benchmark, evaluation suite, or challenge.
  • Simulation-based evaluation and sim-to-real validation.
  • MLOps for on-edge models, including quantization, versioning, and rollout to a fleet.
  • Experience in industrial inspection, gauge reading, or anomaly detection.

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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