It’s like you live in a Silicon Valley episode, but in Kyiv.• You can work remotely but we hope to see you in the office sometimes. On a social distance.• We promise to challenge you to create and be creative. All the time.• You’ll join the team of smart, driven, active folks who do their job well. Our mission is to create a platform for a new Computer Vision RND Engineer (Generative AI) job type of AI-based personalized content that will help people express their creativity and have fun using state-of-the-art ML technology.
Why become a Computer Vision Engineer at Turing?
Join our global developer network to discover long-term, full-time remote Computer Vision engineer jobs with better pay and advancement opportunities. Computer vision is a branch of machine learning that heavily relies on deep learning models such as CNN, RNN, and ANN, to mention a few. To identify photos or recognise objects, you’ll need to understand machine learning methods.
- Tensorflow is an open-source machine learning framework that can be used to create and train neural networks for deep learning as well as many other machine learning models that need a lot of numerical calculation.
- It’s a great moment to learn some cutting-edge computer vision abilities and go ahead in the industry.
- Because Apple fully integrates hardware and software across every device, these researchers and engineers collaborate more effectively to improve the user experience while protecting user data.
- Long-term opportunities to work for amazing, mission-driven US companies with great compensation.
- Object detection, unlike object localization, is not limited to locating just one instance of an object in an image, but rather all of the object instances present in the image.
OpenShift AI Specialist Solutions Architect
The technique of recognizing the single most conspicuous instance of an item in a picture is known as object localization. Object detection, unlike object localization, is not limited to locating just one instance of an object in an image, but rather all of the object instances present in the image. The boundary between a computer vision scientist and a computer vision engineer is becoming increasingly blurry as the computer vision domain expands and more firms embrace computer vision business and analytics. Tips, tricks, and more to enhance your tech skills and stand out with clients.
Let’s Team Up
This team’s research typically relies on very large quantities of data and innovative methods in deep learning to tackle user challenges around the world — in languages from around the world. Software engineering Areas of work include Natural Language Engineering, Language Modeling, Text-to-Speech Software Engineering, Speech Frameworks Engineering, Data Science, and Research. The people working here in machine learning and AI are building amazing experiences into every Apple product, allowing millions to do what they never imagined. Because Apple fully integrates hardware and software across every device, these researchers and engineers collaborate more effectively to improve the user experience while protecting user data. Come make an impact with the products you create and the research you publish. The demand for Generative AI professionals has seen an explosive rise as more industries adopt AI technologies.
- We are seeking a highly skilled Data Scientist/Machine Learning Engineer to design, develop, and deploy advanced machine learning models for our digital advertising recommendation engine.
- Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
- Areas of work include Machine Learning Platform Engineering, Systems Engineering, Data Science, and Applied Science.
- Expertise in generative models, advanced architectures, and volumetric differentiable rendering techniques is essential.
- Dive into a world of limitless possibilities with RemoteAi.io, your premier platform for innovative careers and job opportunities in artificial intelligence.
