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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Deep Learning Researcher - Model Efficiency - Qualcomm - Amsterdam - **Company:** Qualcomm - **Location:** Amsterdam, Netherlands (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Systems Engineering, Artificial Neural Networks, Computer Vision, Computer Programming, Computer Engineering, Python (Programming Language), Machine Learning, Software Engineering, Pytorch, Large Language Models, Deep Learning, Information Technology, Hardware Acceleration - **Published:** September 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c15ef0f936c9b1dd ## About the Role The ideal candidate will have a background in machine learning and deep learning with proven academic and/or industrial research experience, and a passion for pushing the boundaries of AI technology. You will have the opportunity to work on cutting-edge projects as part of our team., * 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 machine learning and deep learning, 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 first-author publications in top-tier machine learning conferences and journals (NeurIPS, ICML, ICLR, CVPR, etc.) are a strong plus. * 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. ## Description We are seeking a talented Senior Deep Learning Researcher to join our Amsterdam-based Model Efficiency research team. The team's mission is to do research that pushes the frontier of on-device efficiency. We focus on developing novel techniques to optimize LLMs and LVMs, including model quantization and compression, efficient data types, conditional compute and inference time compute. The team pushes the state-of-the-art to make modern foundation models more efficient and deployable on edge devices, ensuring best performance with minimal resource usage., * 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, robots, AR/VR headsets, or automated 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. ## Related Videos - [Focoos AI: Building the Future of Computer Vision](https://www.wearedevelopers.com/videos/1659-focoos-ai-building-the-future-of-computer-vision) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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