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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applications Engineer - **Company:** Overview Corporation - **Location:** San Francisco, CA, United States - **Experience:** Starter - **Salary:** $80,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Object Detection, Image Acquisition, Test Scripts, Deep Learning, Model Validation, Process Control Systems - **Published:** September 24, 2026 - **Apply:** https://startup.jobs/applications-engineer-san-francisco-overview-corporation-10165874 ## About the Role * 1 to 3+ years in machine vision, computer vision, applications engineering, robotics, automation, manufacturing, or a related field. * Strong hands on grasp of machine vision fundamentals: cameras, lenses, optics, lighting, and image acquisition. * Familiarity with lens types and when to use them, including telecentric lenses. * Working understanding of AI based vision and how it differs from traditional rules based vision. * Familiarity with image labeling, model training, classification, object detection, and segmentation. * Strong troubleshooting instincts and a logical, experimental approach to technical problems. * Comfortable working hands on with hardware and testing approaches independently. * Able to document and communicate technical findings clearly. * Eager to learn new technologies quickly, including industrial automation and PLCs. * Based in San Francisco, working primarily from our office, with occasional travel to customer sites. Strong Preferences * Experience with industrial machine vision systems in production. * Experience selecting or evaluating cameras, lenses, lighting, or optical components. * Hands on experience with AI or deep learning inspection systems. * Experience building proof of concept systems or running feasibility studies. * Exposure to PLCs, industrial controls, or manufacturing automation. * Experience working directly with manufacturing customers. ## Description * Become a genuine machine vision expert: optics, lighting, sensors, and AI inspection, on real parts and real lines. * Own the experiment. You decide how to test it, you write the report, the finding changes the deployment. * Sit at the seam of lab research and customer reality, where most vision engineers only ever see one side. * Work directly with the most demanding manufacturers in the world, with Sales, Product, and Engineering a desk away. WHAT YOU'LL OWN * Lab testing and experimentation: Hands on testing with cameras, lenses, lighting, and other machine vision components. * Vision setup builds: Build and evaluate vision configurations for customer applications and internal projects. * Technical test reports: Run application tests and turn out clear, fast technical reporting others can act on. * Technology evaluation: Assess new components and technologies and call whether they improve our systems. * Customer support in the field: Testing, troubleshooting, deployment, and technical problem solving for local customers. * AI vision workflow: Image collection, labeling, training, and model evaluation on AI based inspection systems. * Team enablement: Build the internal test setups, resources, and documentation the broader Applications team runs on. * Optical and hardware projects: Camera calibration, new optical configurations, and hardware evaluation. ## Related Videos - [How computers learn to see – Applying AI to industry](https://www.wearedevelopers.com/videos/756-how-computers-learn-to-see-applying-ai-to-industry) - [Focoos AI: Building the Future of Computer Vision](https://www.wearedevelopers.com/videos/1659-focoos-ai-building-the-future-of-computer-vision) - [Are Classical Automation Frameworks Dead? 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