> Markdown version of [/jobs/ext/1911550-computer-vision-engineer](https://www.wearedevelopers.com/jobs/ext/1911550-computer-vision-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Computer Vision Engineer - **Company:** FORESIGHT DATA MACHINES INC. - **Location:** Austin, TX, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Python (Programming Language), Machine Learning, Open Source Technology, Software Engineering, Visual Systems, Graphics Processing Unit (GPU), Information Technology, Multiaccess Edge Computing - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=12028d2c9c73b85b ## About the Role * Proven track record of training and deploying vision models into real-world, production environments. * Strong software engineering skills in Python, with a focus on writing clean, high-performance code. * Familiarity with edge computing hardware (e.g., NVIDIA Jetson, industrial GPUs) and camera integration protocols. We are open to a wide range of backgrounds, but some examples we expect to see are: * Machine learning / computer vision engineers with deployment experience * Robotics or autonomous systems engineers * Researchers who have transitioned to building and shipping production software For all roles, we are looking for people with the following attributes: * Exceptional ability. Whether in work, school, side projects, or elsewhere, you will have demonstrated exceptional ability. We are open minded about the exact form this takes. Some examples we look for: + You have played a key role in an early-stage startup + You have won hackathons, math, physics, or computer science competitions + You have built impressive vision systems, open-source AI libraries, or deployed ML models into production * Excellent communication. In speech and writing. * Conscientiousness. You want to do good work, regardless of oversight. * You are excited to have freedom to work without too much process and friction, but at the same time, excited to share ideas and work closely with others. * You're excited to work in the metals industries, and everything that goes with it. That means open to occasional travel to spend time in massive factories, meeting and working with a wide range of people. * You are comfortable working in uncertain and dynamic environments. ## Description As a Computer Vision Engineer, you will own the core visual perception systems powering ScrapEye and our upcoming industrial AI products. You will build, deploy, and iterate on production-grade vision models that operate continuously in real-world mill conditions. This includes: * Architecting, training, and deploying real-time computer vision models (detection, segmentation, classification, tracking) for industrial video streams. * Optimizing vision pipelines for edge deployment and high-throughput, low-latency inference in challenging environments (varying lighting, dust, extreme heat). * Collaborating with forward-deployed engineers to integrate vision outputs directly into operational workflows and AI control loops. * Building dataset curation, automated labeling, and active learning pipelines to continuously improve model performance in production. * Exploring and developing new computer vision applications beyond ScrapEye to solve emerging problems across heavy manufacturing. ## Related Videos - [Focoos AI: Building the Future of Computer Vision](https://www.wearedevelopers.com/videos/1659-focoos-ai-building-the-future-of-computer-vision) - [Solving Architectural Entropy With Runnable Diagrams](https://www.wearedevelopers.com/videos/100144-solving-architectural-entropy-with-runnable-diagrams) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [Computer Vision from the Edge to the Cloud done easy](https://www.wearedevelopers.com/videos/263-computer-vision-from-the-edge-to-the-cloud-done-easy) - [How computers learn to see – Applying AI to industry](https://www.wearedevelopers.com/videos/756-how-computers-learn-to-see-applying-ai-to-industry) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [6 Emerging Technologies We’ll Learn About in 2025](https://www.wearedevelopers.com/magazine/381-6-emerging-technologies-we-ll-learn-about-in-2025) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)