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

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Field Applications Engineer (FAE) – Manufacturing (Machine Vision & AI/ML) based in the United States. This is a hands-on engineering role focused on deploying and optimizing machine vision and AI/ML solutions in real-world manufacturing environments. You will work directly with engineering, operations, and quality teams on factory floors to solve complex inspection, automation, and process challenges. The role combines computer vision, AI/ML, industrial automation, system integration, troubleshooting, and customer enablement. You will help deploy production-ready vision systems involving cameras, optics, lighting, edge devices, and intelligent inspection models. Your work will directly support improvements in product quality, throughput, yield, first-pass quality, and overall equipment effectiveness. The position requires close collaboration with sales, deep-learning, product, and engineering teams to deliver effective customer solutions and continuous improvements. This opportunity is well suited to a technically strong, customer-focused engineer who thrives in fast-paced production environments and is comfortable traveling 50% or more. Accountabilities: As a Field Applications Engineer, you will own hands-on deployment, integration, optimization, troubleshooting, and customer enablement activities while helping translate manufacturing challenges into scalable machine vision and AI-driven solutions. - Work closely with sales and deep-learning teams to troubleshoot customer challenges, support deployments, and expand solution adoption. - Travel 50% or more to customer manufacturing facilities for system installation, commissioning, troubleshooting, and ongoing support. - Deploy and configure vision systems, including cameras, optics, lighting, and edge devices, within production environments. - Diagnose and resolve electrical, mechanical, and software issues while working under real-time production constraints. - Help minimize production downtime through rapid and effective issue resolution. - Design and optimize machine vision solutions for inspection, defect detection, measurement, and guidance applications.

- Deploy and validate AI/ML models for real-world applications such as classification, object detection, and segmentation. - Collect, label, organize, and manage image datasets to improve model performance. - Tune models and systems for accuracy, latency, robustness, and consistent performance under variable factory conditions. - Bridge the gap between data science models and reliable, production-ready inspection systems. - Integrate solutions with PLCs, HMIs, robotics, and existing industrial automation systems. - Support connectivity with MES, SCADA, and plant network infrastructure. - Optimize system performance to improve throughput, yield, and first-pass quality. - Execute proof-of-concepts, pilot programs, and full production deployments. - Train operators, engineers, and quality teams on system operation, troubleshooting, and best practices. - Develop documentation, standard operating procedures, and troubleshooting guides to support long-term adoption. - Act as a trusted technical advisor to manufacturing, quality, and operations stakeholders. - Translate production and inspection challenges into practical and scalable technical solutions. - Provide structured feedback to product and engineering teams to improve system performance and usability. - Contribute to successful production deployments, system uptime, model performance, defect reduction, scrap reduction, throughput improvements, OEE improvements, and customer satisfaction. Requirements The role requires a combination of engineering fundamentals, hands-on machine vision experience, industrial troubleshooting capabilities, and strong customer-facing communication skills.