Field Applications Engineer – Manufacturing, Machine Vision, AI/ML

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🕒 March 30

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Matroid, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏢 Enterprise

💰 $20M Series B on 2020-10

AI • Enterprise • Manufacturing

Matroid, Inc. is a company that specializes in AI-powered computer vision solutions for a variety of industries. Their platform enables the creation and deployment of detectors without the need for coding, allowing non-programmers to harness vision technology for visual inspections, defect detection, and safety monitoring. Matroid's solutions are used in manufacturing, aerospace, and transportation, offering features like automated quality inspection, cycle time monitoring, and real-time video analysis. The platform is versatile and hardware-agnostic, supporting on-premise, cloud, and edge computing deployments, and is trusted for mission-critical applications.

📋 Description

• On-Site Deployment & Support • 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 • Machine Vision & AI/ML Implementation • 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 • System Integration & Optimization • 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 • Customer Training & Enablement • 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 • Customer Collaboration • 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 • Success Metrics • 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

🎯 Requirements

• 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 • Preferred Experience with: Computer vision frameworks (e.g., OpenCV, deep learning-based tools) • AI/ML model deployment in production environments • PLCs (Allen-Bradley, Siemens) and industrial automation systems • Industrial networks (Ethernet/IP, PROFINET, Modbus) • Cameras, lenses, lighting, and image acquisition systems • Familiarity with: Data annotation tools and dataset management • Edge computing or GPU-based inference systems • Lean manufacturing, Six Sigma, or continuous improvement methodologies • Bonus points if... Strong hands-on expertise in machine vision and AI-driven inspection systems • Ability to troubleshoot and optimize systems in high-pressure production environments • Systems thinking across hardware, software, and data pipelines • Clear communication with operators, engineers, and executives • Adaptability in fast-paced, variable manufacturing conditions • Located near a major airport for necessary travel

🏖️ Benefits

• Competitive pay and equity • The chance to constantly work on stimulating intellectual challenges • Gym membership reimbursement • Medical, dental, and vision insurance with 100% paid premiums • A budget for whatever hardware or software will make you most effective • Regular tech talks to discuss the latest advances in CV, DL and software engineering