2,000+ Computer Vision jobs in New York

A Master’s degree or Ph.D. in these fields, with a focus on computer vision or machine learning, can significantly boost a candidate’s prospects. Computer Vision Engineers should have a strong background in computer science and mathematics, with a focus on machine learning. Candidates might have gained hands-on experience in areas such as object detection, image segmentation, and 3D reconstruction, and are familiar with computer vision libraries like OpenCV or platforms such as TensorFlow or PyTorch. The University of New South Wales, meanwhile, has been home to another branch of quantum computing, developing the first single-atom transistors. Australia is betting big on quantum science and quantum computing, with a billion-dollar investment in PsiQuantum’s Brisbane-based Computer Vision RND Engineer job computer, and the National Quantum Strategy funnelling money to other ventures. Since machine vision reduces the need for human involvement, it provides additional safety from hazardous environments and operational benefits for human workers.

000+ Computer Vision Engineer Jobs in United States

We are seeking a hands-on, top-notch RnD Computer Vision Software Engineer with a Machine Vision specialization. In this role, you’ll be responsible for designing and developing software solutions for machine vision systems. A computer vision engineer focuses on developing and implementing algorithms, systems, and technologies that enable computers to interpret and understand visual information from digital images or videos. They work at the intersection of computer science, artificial intelligence, and image processing to solve complex vision problems and tasks. We are looking for excellent engineers who can research & develop Computer Vision solutions using state-of-the-art techniques of Machine Learning & Deep Learning.

AIML – Machine Intelligence – Machine Learning Researcher

FORMULATRIX® is a fast growing robotic automation equipment manufacturer and software solutions provider to leading pharmaceutical companies and academic research institutions. We cater to clients in the highly specialized life sciences industry with our client base comprised of major Fortune 500 and Fortune 100 companies. The company has experienced aggressive historic double-digit growth with healthy profits because of our industry-recognized patented technology and superior software delivery services. The industry recognizes our products and services due to our dedication to producing the ‘best breed of products.” Our business operations are international in scope with business units located in the United States, Europe, and Asia.

Computer Vision Jobs

Jobs in artificial intelligence and machine learning have been steadily rising as companies’ need for such engineers proportionally increases. Computer Vision RND Engineer job According to the United States Bureau of Labor Statistics, jobs for computer and information research scientists are expected to grow by 22% between 2020 and 2030. The workplace of a computer vision engineer can vary depending on factors such as the industry, company size, and specific job role. However, computer vision engineers typically work in environments that provide access to the necessary hardware, software, and resources for developing and testing computer vision systems and solutions.

Applied Machine Learning Engineer

• Exchanging knowledge and collaborating with each other is very important because it allows the whole team to successfully finish the project.
• That is why we don’t expect all of our job candidates to have a lifetime of experience or a dozen projects to show off.
• Discover the differences and links between computer vision vs. machine vision.
• Our teams are innovating at the cutting edge of their fields in order to tackle challenges and build products that impact billions of people every day.
• Factors such as lighting, color changes, and curvature can complicate inspections, which can be problematic.

Computer vision systems are only as good as the data on which they are trained, which means it’s essential that they train on a wide variety of data sets. Computers also lack the context humans naturally bring to Software engineering the vision processing system. Common use cases of computer vision include biotechnology, where it is used for skin cancer detection, gene editing, and more. In addition, AI vision has broken invaluable ground in the medical industry, for example, where it is an extremely useful technology in diagnosis implementations. This requires a solid grasp of image processing algorithms and the ability to apply them to real-world scenarios. This information can come in various ways, such as through video feeds, digital signals, or analog images that the computer digitizes.

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Continuous education is a must, and so is keeping an eye out for the latest trends in the field. Besides obtaining knowledge, R&D Engineers must also know how to use it in new, creative ways in order to solve real problems. It’s the combination of good programming skills and the ability to solve problems by thinking creatively. That is why we don’t expect all of our job candidates to have a lifetime of experience or a dozen projects to show off. In other words, if you know the basics and you’re eager to keep learning, we’ll take care of the rest. To give you a peek into the life of an R&D Engineer, we interviewed one of our experts from the Automotive Division — Vedran Pamuković.

Power Components Engineer, Mechanical (Starship)

In addition to office environments, computer vision engineers may also work in specialized facilities such as testing labs, simulation centers, or field sites where they can evaluate and validate computer vision systems in real-world conditions. Dive into a world of limitless possibilities with RemoteAi.io, your premier platform for innovative careers and job opportunities in artificial intelligence. Whether you’re a professional seeking exciting challenges or a company in search of exceptional talent, discover a universe where passion meets expertise. Join a dynamic community poised to redefine the boundaries of technology and propel your career or business to new heights. Some of what we do has never been done before, which is where creativity and passion come in. An R&D Engineer must be eager to stay at the forefront of computer vision and machine learning technology.

Camera AI Research Engineer

Headquartered in Dubai, UAE, we supply software and robotic automation solutions to leading pharmaceutical companies and academic research institutions around the world. Our team works tirelessly to provide the best products in the industry with support that is second to none. IRIDA Labs is a leading European based provider of cutting-edge embedded computer vision solutions, allowing devices to visualize and understand their surroundings through on-device machine learning. PerCV.ai, our unique end-to-end software and services platform is used for the development of machine vision applications addressing dynamic technology markets such as IoT, Industry 4.0, Smart Retail, and Smart Cities & Spaces. Skills full-stack developer on embedded programming will be acknowledged, to explore the most efficient and practical algorithmic implementations in embedded platforms.