Field AI
Robotics Software Engineer, Mission Evaluation & Fine-Tuning
Irvine, CA · On-site · Full-time · Posted Oct 19, 2026
- Experience
- 3+ years in robotics or ML engineering.
- Education
- MS in computer science, robotics, aerospace engineering, or a related field.
About the job
Owns inspection-behavior evaluation for robotics missions, turning field evidence into datasets, metrics, and regression tests that guide releases and model fine-tuning.
What you'll do
- Build evaluation datasets, seeded-fault runs, and regression suites to gate release candidates.
- Analyze mission logs, identify and route failures, and connect technical performance to customer metrics.
- Convert field evidence into training and evaluation sets and fine-tune vision or vision-language models.
What they ask for
- Strong Python, working C++, and comfort with ROS 2 logs, bags, and replay tooling.
- Experience evaluating and fine-tuning vision or vision-language models, including building datasets and metrics.
- Statistical rigor and data pipeline skills to move evidence from robot to training set to dashboard.
Nice to have
- Authored or maintained a robotics benchmark, evaluation suite, or challenge; simulation-based evaluation and sim-to-real validation.
- MLOps for on-edge models or experience in industrial inspection, gauge reading, or anomaly detection.
Tools
Python, C++, ROS 2, PyTorch, LoRA
AI focus
Evaluate and fine-tune vision or vision-language models for robotics inspection, using field evidence to build training and evaluation datasets.
Model-written summary · the original posting is authoritative