> Markdown version of [/jobs/ext/3857801-senior-graphics-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/3857801-senior-graphics-machine-learning-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). --- # Senior Graphics Machine Learning Engineer - **Company:** Advanced Group - **Location:** München, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, 3D Rendering, Application Programming Interfaces (APIs), Artificial Intelligence, Artificial Neural Networks, Computer Vision, C++ (Programming Language), CMake, Software Code Optimization, Nvidia CUDA, Computer Programming, Computer Engineering, Continuous Integration, Data Cleansing, Software Debugging, Direct3D, Python (Programming Language), Machine Learning, Object-Oriented Software Development, OpenCL, Performance Tuning, Tensorflow, Software Engineering, Git, Discretization, Information Technology, Super-Resolution, Ray Tracing, Vulkan Graphics API, Software Version Control - **Published:** October 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=64059f77743003ca ## About the Role The ideal candidate should be passionate about machine learning and its application to graphics and visual computing. They should possess strong problem-solving skills, be able to drive complex technical issues to resolution, and communicate effectively while collaborating across multidisciplinary teams. The Applied Research and Engineering team is looking for the following, * Experience developing, training, and optimizing machine learning models using modern ML frameworks. * Strong programming skills in Python and C++. * Understanding of machine learning techniques and their application to graphics, rendering, and visual computing problems. * Solid understanding of real-time graphics fundamentals, including 3D rendering pipelines, GPU architectures, and ray tracing concepts. * Experience optimizing machine learning workloads for GPU platforms. * General software development workflow knowledge, including Git, CMake, CI/CD, testing, and debugging. * Ability to collaborate effectively with researchers, graphics engineers, and software developers. * Proficient in English. PREFERRED EXPERIENCE: * Strong object-oriented programming background. * Experience applying machine learning techniques to image enhancement, denoising, super-resolution, frame interpolation, or related visual computing challenges. * Understanding of vision transformers and diffusion models. * Familiarity with graphics and compute APIs such as Direct3D, Vulkan, CUDA, or OpenCL. * Understanding of model optimization techniques, including distillation, quantization, pruning, or compression. * Experience with GPU performance optimization. * Experience with software development processes and tools such as debuggers, source code control systems (Git), profilers, and continuous integration systems. * Ability to write high-quality, maintainable code with strong attention to detail. * Effective communication and problem-solving skills. * Strong interpersonal and collaboration skills. * Experience coding with AI-assisted development tools and agents., * Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, or equivalent. * Relevant industry experience in machine learning, computer vision, graphics, or visual computing will also be considered. #LI-CC5 ## Description A seasoned Machine Learning Engineer to develop and optimize machine learning models for graphics, rendering, and visual computing applications. The ideal candidate will have deep expertise in machine learning and neural network architectures, combined with a solid understanding of real-time graphics technologies and GPU-accelerated workloads. This role involves close collaboration with research and engineering teams to deliver innovative ML solutions that enhance visual quality, rendering efficiency, and user experiences., * Proficiency in machine learning and neural network architectures.