REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Field Applications Engineer (FAE)
XX
Field Applications Engineer (FAE) - Manufacturing (Machine Vision & AI/ML)Matroid • New York, New York, United States
Jetzt Bewerben
XX

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

Matroid
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

Field Applications Engineer (FAE) – Manufacturing (Machine Vision & AI/ML) 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 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
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
What you bring to the table
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
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
What we offer in return
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
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.
#J-18808-Ljbffr
  • New York, New York, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.