Field Applications Engineer; FAE Manufacturing; Machine Vision & AI​/ML

Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and
deploy automated visual inspection on imagery including EO, IR, X-Ray, CT, OCT, and others.

Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and security.

We are seeking a hands-on, customer-focused Field Applications Engineer (FAE) to support the deployment and optimization of machine vision and AI-driven solutions in manufacturing environments. This role is highly technical and field-based, requiring frequent travel to customer facilities (50%+) to ensure successful implementation, integration, and performance in real-world production settings. You will work directly on factory floors with engineering, operations, and quality teams to solve complex inspection, automation, and process challenges—leveraging computer vision and AI/ML to improve quality, throughput, and efficiency.

• Working directly with the sales and deep-learning teams to most effectively problem solve, support, and expand Matroid by users.
• Travel to customer manufacturing facilities (50%+ travel required) for system installation, commissioning, and support
• Deploy and configure vision systems (cameras, optics, lighting, edge devices) in production environments
• Troubleshoot electrical, mechanical, and software issues under real-time production constraints
• Ensure minimal downtime and rapid resolution of issues

• Design and optimize vision solutions for inspection, defect detection, measurement, and guidance
• Deploy and validate AI/ML models for real-world use (e.g., classification, object detection, segmentation)
• Collect, label, and manage image datasets to improve model performance
• Tune models and systems for accuracy, latency, and robustness in variable factory conditions
• Bridge the gap between data science models and production-ready systems

• Integrate solutions with PLCs, HMIs, robotics, and existing automation systems
• Support connectivity with MES, SCADA, and plant network infrastructure
• Optimize system performance for throughput, yield, and first-pass quality
• Execute proof-of-concepts (POCs), pilot programs, and full production rollouts

• Train operators, engineers, and quality teams on system operation and best practices
• Develop documentation, SOPs, and troubleshooting guides
• Support long-term adoption and continuous improvement initiatives

• Act as a trusted technical advisor to manufacturing, quality, and operations teams
• Translate production and inspection challenges into scalable technical solutions
• Provide structured feedback to product and engineering teams to improve system performance and usability

• Successful deployment and uptime of vision/AI systems in production
• Model performance (accuracy, false positive/negative rates) in real-world conditions
• Reduction in defects, scrap, or manual inspection
• Improvements in throughput and overall equipment effectiveness (OEE)
• Customer satisfaction and repeat engagements

• Bachelor’s degree in Engineering, Computer Science, or related technical field
• 3–8+ years of experience in manufacturing, industrial automation, or field engineering
• Hands-on experience with machine vision systems (image formation) in industrial environments
• Strong troubleshooting skills across hardware and software systems
• Ability to travel frequently (50% or more), including time on factory floors

• Experience with:
  • Computer vision frameworks (e.g., OpenCV, deep learning-based…