Staff Machine Learning Engineer — AI Research & PrototypingWe are partnered with the world renowned AI research lab of a globally leading semiconductor company. The team are looking to hire a Staff Machine Learning Engineer to bridge the gap between theoretical research and embedded reality. In this role you will implement state-of-the-art algorithms, conduct large-scale experiments, and optimize models for deployment on billions of edge devices.This is a permanent working opportunity based in Amsterdam, the Netherlands. Key responsibilities for this Staff Machine Learning Engineer position: Transition research prototypes into robust, commercial-grade software for embedded platforms.Evaluate and optimize GenAI workflows for accuracy and performance on-device.Apply advanced techniques such as quantization, pruning, and algebraic optimization for hardware cores.Work across Python/PyTorch stacks while ensuring high-quality C++ implementation for Android and embedded targets.Key requirements: PhD or MS in CS, EE, or Robotics.Proven experience training deep neural networks and improving training pipelines.Solid understanding of C++, the Android platform, and hardware-level optimization.Comfortable with fast iteration, TDD, and multi-site collaboration.Keywords: Machine Learning / PyTorch / AI Research / Model Quantization / GenAI / Embedded AI / Android / C++ / Python / Neural Networks / Artificial Intelligence / Generative AI / Semiconductor / R&D / Research and DevelopmentIf you are interested in this Staff Machine Learning Engineer position, please send a CV to ts@eu-recruit.com By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice https://eu-recruit.com/wp-content/uploads/2024/07/European-Tech-Recruit-Privacy-Notice-2024.pdf