Machine Vision Applications Engineer

Machine Vision Applications Engineer

• San Francisco, CA
  · Applications
  · Full-time, in office

• Compensation: 150K - 200K OTE

• Travel: Up to 50%, typically lower.

Overview.ai is bringing cutting-edge AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed worldwide.

We're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible, not just pilots.

We're looking for an experienced Machine Vision Applications Engineer to own complex vision applications from initial feasibility through production deployment.

You'll be our go-to technical expert for optics, lighting, image acquisition, and inspection performance, working hands-on in our San Francisco lab and directly with customers on real manufacturing challenges.

This isn't a purely research or advisory role. You'll build vision systems, evaluate hardware, lead proof-of-concept testing, troubleshoot difficult inspection problems, and make technical recommendations that directly influence customer deployments and product development.

We're looking for someone who has already solved challenging machine vision problems in industrial environments and wants to apply that expertise to the next generation of AI-powered inspection.

• Own complex vision challenges: Lead the technical approach for applications where optics, lighting, image quality, and inspection reliability make the difference.

• Be the vision expert: Serve as a technical resource for Applications, Sales, Product, and Engineering.

• Shape our technology: Your evaluations and findings will directly influence hardware decisions, application development, and deployment strategies.

• Bridge traditional and AI vision: Apply deep machine vision fundamentals to inspection problems that conventional systems struggle to solve.

• Stay hands-on: Work directly with cameras, lenses, lighting, real customer parts, and production environments.

• Advanced vision application development: Lead feasibility studies, proof-of-concept testing, and technical validation for complex industrial inspection applications.

• Optics and lighting design: Select, configure, and optimize cameras, lenses, lighting, filters, and optical components for challenging inspection requirements.

• Technical ownership of the SF lab: Drive vision experimentation, testing standards, hardware evaluation, and application development.

• Inspection performance optimization: Troubleshoot image quality, environmental variability, false rejects, missed defects, and inspection consistency.

• AI vision workflows: Work with image collection, labeling, model training, and evaluation to optimize AI-based inspection performance.

• Customer application support: Partner with customers and field teams to troubleshoot vision challenges and ensure successful deployment on production lines.

• Technology evaluation: Assess emerging vision technologies and recommend improvements to our hardware and inspection capabilities.

• Technical leadership: Mentor less experienced engineers, establish best practices, and provide technical guidance across teams.

• Cross-functional collaboration: Work closely with Product and Engineering to translate application challenges into product improvements.

Required

• 5+ years of hands-on experience in industrial machine vision, vision applications engineering, or optical inspection systems.

• Deep understanding of machine…