Software Engineer III, AI/ML Computer Vision, Google Cloud
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60 open computer vision engineer jobs at 27 employers, updated twice a day.
As of 23 September, 61 computer vision engineer roles are open at 27 employers. The countries with the most are the United States, Australia and China. Of the roles that say how they work, 16% are remote or hybrid.
Two-thirds of computer vision engineering roles listed on the board are in the United States, with Australia the next most represented country and a handful of other markets — including Germany, the United Kingdom, Canada and several Asia-Pacific nations — each accounting for a small share. The spread of seniority is notable: senior and lead levels together account for well over half of roles where seniority is stated, while interns make up a meaningful minority and junior roles are relatively few. Most openings have been on the board for at least a month, with only a modest share posted in the last fortnight and none added in the current week. A small number of large employers account for nearly two-fifths of all listed roles, suggesting some concentration among established hiring organisations.
Figures are measured every Monday.
Computer vision engineers build and train the algorithms that allow machines to interpret digital images and video. Typical application areas include autonomous vehicles, robotic manufacturing, security systems and medical imaging. The role sits close to machine learning engineering but centres on visual data specifically, drawing on image processing, object detection, segmentation and related techniques. Core tools include OpenCV, a widely used open-source library organised into modules covering image processing, camera calibration and deep neural networks, and PyTorch's torchvision package, which provides pretrained model architectures and image transforms across tasks such as classification, detection and optical flow. People enter the field from backgrounds in computer science, electrical engineering or mathematics, and progression often leads toward technical leadership or applied research.
Computer vision is mentioned in nearly all descriptions, confirming it as the core competency. C++ and Python appear with similar frequency, reflecting that production systems often combine a high-performance compiled language with a scripting layer. PyTorch and TensorFlow are each mentioned in a substantial share of descriptions. References to PhD and master's level study appear in roughly half of descriptions, as do mentions of publications, suggesting that research output carries weight in many of these roles, particularly at senior levels.
Share of the open roles' descriptions that mention it, from a sample of 61. A mention is not a requirement.
On-site work dominates strongly among the roles on the board that state a work mode, with the large majority expecting engineers to be present at a physical location. Hybrid arrangements account for a small share, and fully remote roles are a very small minority. This pattern likely reflects the hardware-intensive and lab-based nature of much computer vision work, where access to cameras, sensors and GPU infrastructure on site is often necessary.
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