Field Applications Engineer (FAE) – Manufacturing (Machine Vision & AI/ML)

About Matroid 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. What you’ll do 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 supportDeploy and configure vision systems (cameras, optics, lighting, edge devices) in production environmentsTroubleshoot electrical, mechanical, and software issues under real-time production constraintsEnsure minimal downtime and rapid resolution of issues Machine Vision & AI/ML Implementation Design and optimize vision solutions for inspection, defect detection, measurement, and guidanceDeploy and validate AI/ML models for real-world use (e.g., classification, object detection, segmentation)Collect, label, and manage image datasets to improve model performanceTune models and systems for accuracy, latency, and robustness in variable factory conditionsBridge the gap between data science models and production-ready systems System Integration & Optimization Integrate solutions with PLCs, HMIs, robotics, and existing automation systemsSupport connectivity with MES, SCADA, and plant network infrastructureOptimize system performance for throughput, yield, and first-pass qualityExecute proof-of-concepts (POCs), pilot programs, and full production rollouts Customer Training & Enablement Train operators, engineers, and quality teams on system operation and best practicesDevelop documentation, SOPs, and troubleshooting guidesSupport long-term adoption and continuous improvement initiatives Customer Collaboration Act as a trusted technical advisor to manufacturing, quality, and operations teamsTranslate production and inspection challenges into scalable technical solutionsProvide structured feedback to product and engineering teams to improve system performance and usability Success Metrics Successful deployment and uptime of vision/AI systems in productionModel performance (accuracy, false positive/negative rates) in real-world conditionsReduction in defects, scrap, or manual inspectionImprovements in throughput and overall equipment effectiveness (OEE)Customer satisfaction and repeat engagements What you bring to the table Bachelor’s degree in Engineering, Computer Science, or related technical field3–8+ years of experience in manufacturing, industrial automation, or field engineeringHands-on experience with machine vision systems (image formation) in industrial environmentsStrong troubleshooting skills across hardware and software systemsAbility 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 environmentsPLCs (Allen-Bradley, Siemens) and industrial automation systemsIndustrial networks (Ethernet/IP, PROFINET, Modbus)Cameras, lenses, lighting, and image acquisition systemsFamiliarity with:Data annotation tools and dataset managementEdge computing or GPU-based inference systemsLean manufacturing, Six Sigma, or continuous improvement methodologies Bonus points if... Strong hands-on expertise in machine vision and AI-driven inspection systemsAbility to troubleshoot and optimize systems in high-pressure production environmentsSystems thinking across hardware, software, and data pipelinesClear communication with operators, engineers, and executivesAdaptability in fast-paced, variable manufacturing conditionsLocated near a major airport for necessary travel What we offer in return Competitive pay and equityThe chance to constantly work on stimulating intellectual challengesGym membership reimbursementMedical, dental, and vision insurance with 100% paid premiumsA budget for whatever hardware or software will make you most effectiveRegular tech talks to discuss the latest advances in CV, DL and software engineering Matroid is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

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