Matroid, Inc.

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

Matroid, Inc.

full-time

Posted on:

Location Type: Remote

Location: United States

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About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine vision systemsAI/ML model deploymenttroubleshootingsystem integrationimage acquisition systemsdata annotation toolsPLC programmingindustrial automationdeep learning frameworksedge computing
Soft Skills
problem solvingclear communicationadaptabilitycustomer collaborationtraining and enablementtechnical advisingcontinuous improvementteamworkdocumentation developmentsystems thinking