Position SummaryThe AI team at Samsung Research UK is currently looking for Computer Vision and Machine Learning Engineer to join our team in Staines-upon-Thames. This is a good opportunity to work on next-generation mobile devices from Samsung. As a forward-thinking company, we are at the forefront of innovation and seek an individual with a passion for pushing the boundaries of AI and content creation, and processing of live camera frames and images on PC and mobile environment. The prospective engineer will have an opportunity to work in production environments and solve industry-relevant problems. This role is available as a 6 month internship or a 6 month contract (outsourced via agency). It is based in Staines-upon-Thames, Surrey, UK and we have a hybrid policy of 3 days onsite and 2 days working from home weekly. We require an immediate start so we politely request that you only apply if you can join the company within 1 month of accepting the role. This means that unfortunately visa sponsorship is not available.Role and ResponsibilitiesAs a Machine Learning Engineer, you will:<ul><li>Explore and experiment with emerging technologies to continuously improve our AI-driven content reconstruction, creation and edition processes. Review the state of the art computer vision research papers and develop prototype solutions.</li><li>Develop cutting-edge software and algorithms for computer vision, image processing and deep learning models</li><li>Have technical responsibility for one or more significant sections of the assigned project</li><li>Translate complex functional and technical requirements into detailed design</li></ul>Skills and QualificationsRequired Skills<ul><li>Masters or higher degree in Computer Science/Engineering, or related disciplines</li><li>Professional software development experience with C++ and Python</li><li>Experience developing with machine learning frameworks – Tensorflow/Pytorch</li><li>Expertise in image-based 3D reconstruction: Photogrammetry, Neural Radiance Fields (NERF) or Gaussian Splatting techniques.</li><li>Programming proficiency one or more of programming language and APIs like C++/Java/Python</li><li>Excellent communication, teamwork and a results-oriented attitude</li><li>Proficiency in problem-solving and debugging</li></ul>Desirable Skills<ul><li>Experience in Generative AI, including hands-on implementation of state-of-the-art models.</li><li>Computational photography, image inpainting and 3-D vision</li><li>Model optimization and knowledge distillation.</li><li>Experience in computer graphics and rendering: design and development of software such as OpenGL, OpenGL ES, Vulkan or DirectX</li><li>Experience in Android application development</li></ul>Contract Type: 6 Month Internship or 6 Month Contract via agency (Inside IR35)Location: Staines-upon-Thames, Surrey, UKHybrid Policy: 3 days onsite and 2 days working from home weeklySamsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a previous employer.* Please visit Samsung membership to see Privacy Policy, which defaults according to your location, at: <a rel="noopener noreferrer" target="_blank" href="https://account.samsung.com/membership/policy/privacy">https://account.samsung.com/membership/policy/privacy</a>. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click <a rel="noopener noreferrer" target="_blank" href="https://europe-samsung.com/ghrp/PrivacyNoticeforEU.html">here</a>: <a rel="noopener noreferrer" target="_blank" href="https://europe-samsung.com/ghrp/PrivacyNoticeforEU.html">https://europe-samsung.com/ghrp/PrivacyNoticeforEU.html</a>

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Samsung

Samsung Research UK, a leader in innovation, seeks a Computer Vision & Machine Learning Engineer for a 6-month internship or contract. The ideal candidate holds a Master's degree and expertise in AI and image processing. You will develop cutting-edge software and algorithms, working on next-generation mobile devices. Enjoy a hybrid work policy with 3 days onsite and 2 days remote weekly.