Senior Deep Learning Researcher – Model Efficiency - Qualcomm - Amsterdam

You conduct research and develop and quickly iterate on innovative deep learning-based models and algorithms. You design, experiment, and implement novel solutions that advance the state-of-the-art for inference efficiency, in close collaboration with other researchers and engineers. Through your research, you create scientific as well as business impact, helping us develop impactful breakthroughs in AI Research. You engage with other teams to see your ideas deployed on millions of devices, such as mobile phones, AR/VR headsets, or autonomous vehicles. You stay up to date with the latest advancements in AI and machine learning. You publish novel research findings in top-tier conferences and journals and engage with the academic community. You have a PhD in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience. You have proven experience in deep learning and machine learning research, including hands-on experience developing and optimizing models, and are comfortable with all aspects of the research cycle. You have programming experience in Python and hands-on experience with standard deep learning toolkits such as PyTorch or Jax. You write clean and maintainable code for research and advanced prototyping and follow best practices. You have strong problem-solving abilities and a collaborative mindset. Extensive experience in deep learning research and impactful publications in top-tier machine learning conferences and journals (NeurIPS, ICML, ICLR, etc.). Prior experience with efficiency related topics such as quantization, compression or hardware accelerators for neural networks is a plus, but not a necessity for this role. Experience working with a variety of stakeholders and ability to communicate complex outcomes to a wide range of audiences. Prior experience working in industrial research and/or technology leadership experience are a strong plus. Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. 6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods. References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.