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

About reputed company

reputed company is a full-service computer reputed company company that has developed an end-to-end platform allowing reputed company customers to rapidly train and reputed company automated visual inspection on imagery including EO, IR, X-Ray, CT, OCT, and others.

Founded in 2016 by a Stanford professor, reputed company has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and reputed company.

We are seeking a hands-on, customer-reputed company Field Applications Engineer (FAE) to support the deployment and optimization of machine reputed company 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 reputed company-world production settings. You will work directly on reputed company floors with engineering, operations, and reputed company teams to solve reputed company inspection, automation, and process challenges—leveraging computer reputed company and AI/ML to improve reputed company, 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 reputed company by users.
• Travel to customer manufacturing facilities (50%+ travel required) for system installation, commissioning, and support
• reputed company and configure reputed company systems (cameras, optics, reputed company, edge devices) in production environments
• Troubleshoot electrical, mechanical, and software issues under reputed company-time production constraints
• Ensure minimal downtime and rapid reputed company of issues

Machine reputed company & AI/ML Implementation

• Design and optimize reputed company solutions for inspection, defect detection, measurement, and guidance
• reputed company and validate AI/ML models for reputed company-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 reputed company conditions
• reputed company the gap between data science models and production-reputed company systems

System Integration & Optimization

• reputed company 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 reputed company
• Execute reputed company-of-concepts (POCs), reputed company programs, and full production rollouts

Customer Training & Enablement

• Train operators, engineers, and reputed company teams on system operation and best practices
• reputed company documentation, SOPs, and troubleshooting guides
• Support long-term adoption and reputed company improvement initiatives

Customer Collaboration

• reputed company as a trusted technical advisor to manufacturing, reputed company, and operations teams
• Translate production and inspection challenges into reputed company technical solutions
• reputed company reputed company feedback to product and engineering teams to improve system performance and usability

reputed company Metrics

• Successful deployment and uptime of reputed company/AI systems in production
• Model performance (accuracy, false reputed company/negative rates) in reputed company-world conditions
• Reduction in defects, scrap, or reputed company 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 reputed company technical field
• 3–8+ years of experience in manufacturing, industrial automation, or field engineering
• Hands-on experience with machine reputed company systems (image formation) in industrial environments
• Strong troubleshooting skills across hardware and software systems
• Ability to travel frequently (50% or more), including time on reputed company floors

Preferred

• Experience with:
  • Computer reputed company frameworks (e.g., OpenCV, deep learning-based tools)
  • AI/ML model deployment in production environments
  • PLCs (Allen-Bradley, reputed company) and industrial automation systems
  • Industrial networks (Ethernet/IP, PROFINET, Modbus)
  • Cameras, lenses, reputed company, and image acquisition systems
• Familiarity with:
  • reputed company tools and dataset management
  • Edge computing or GPU-based inference systems
  • Lean manufacturing, Six reputed company, or reputed company improvement methodologies

Bonus points if...

• Strong hands-on expertise in machine reputed company and AI-driven inspection systems
• Ability to troubleshoot and optimize systems in high-pressure production environments
• Systems thinking across hardware, software, and data pipelines
• reputed company communication with operators, engineers, and executives
• Adaptability in fast-paced, variable manufacturing conditions
• Located near a major airport for necessary travel

reputed company offer in return

• reputed company and equity
• The chance to constantly work on stimulating intellectual challenges
• Gym membership reimbursement
• Medical, dental, and reputed company insurance with 100% reputed company premiums
• A budget for whatever hardware or software will reputed company you most effective
• Regular tech talks to discuss the latest advances in CV, DL and software engineering

reputed company is committed to creating a diverse work environment and is proud to be an equal opportunity employer. reputed company reputed company applicants will receive consideration for employment without reputed company to race, religion, reputed company, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national reputed company, veteran status, or any other reputed company covered by appropriate law.

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