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

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. Bachelor’s degree in Engineering, Computer Science, or a related technical field. 3–8+ years of experience in manufacturing, industrial automation, field engineering, or a closely related area. Hands-on experience with machine vision systems and image formation in industrial environments. Strong troubleshooting capabilities across hardware and software systems. Ability and willingness to travel frequently, with 50% or more travel required. Experience designing or deploying computer vision solutions in production environments is preferred. Familiarity with computer vision frameworks such as OpenCV and deep-learning-based tools is preferred. Experience deploying AI/ML models in production environments is a plus. Experience with industrial PLCs, particularly Allen-Bradley or Siemens, is preferred. Familiarity with industrial communication networks such as Ethernet/IP, PROFINET, and Modbus. Hands-on knowledge of industrial cameras, lenses, lighting, and image acquisition systems is preferred. Familiarity with data annotation tools and image dataset management. Experience with edge computing or GPU-based inference systems is desirable. Knowledge of Lean Manufacturing, Six Sigma, or continuous improvement methodologies is a plus. Strong systems-thinking skills across hardware, software, and data pipelines. Ability to troubleshoot and optimize systems effectively in high-pressure production environments. Clear and confident communication skills when working with operators, engineers, quality teams, and executives. Adaptability and strong problem-solving skills in fast-paced and changing manufacturing environments. Located near a major airport is advantageous due to the travel requirements. Benefits Fully remote position available anywhere in the United States, with frequent travel to customer manufacturing facilities. Competitive compensation and equity opportunities. Medical, dental, and vision insurance with 100% of premiums paid. Gym membership reimbursement. Dedicated budget for hardware and software needed to maximize effectiveness in the role. Regular technical talks covering advances in computer vision, deep learning, and software engineering. Opportunity to work on intellectually challenging machine vision and AI/ML applications. Hands-on exposure to industrial automation, AI-driven inspection, edge computing, and production-scale computer vision. Opportunity to directly contribute to improvements in manufacturing quality, efficiency, throughput, and operational performance. Collaborative environment connecting field engineering, sales, deep learning, product, and software engineering teams.