Senior Deep Learning Researcher – Model Efficiency

Position: Senior Staff Deep Learning Researcher – Model Efficiency - Qualcomm
Company  Qualcomm Technologies Netherlands B.V.
Job Area  Engineering Group, Engineering Group  Machine Learning Researcher
General Summary  At Qualcomm AI Research, we are advancing AI to make its core capabilities - perception, reasoning, and action - ubiquitous across devices. Our mission is to make breakthroughs in fundamental AI research and scale them across industries. By bringing together some of the best minds in the field, we're pushing the boundaries of what's possible and shaping the future of AI.

Job Summary  We are seeking a talented and experienced 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 and the data center, ensuring best performance with minimal resource usage.
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.

Key Responsibilities   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.
As a senior member of the team, you effectively mentor and guide other team members, take on extended project responsibilities, define research roadmaps, and interact with cross-functional and cross-team/cross-departmental stakeholders.
Through your research and guidance, 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.
Requirements   You have a PhD in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience.
You have significant professional experience in machine learning and deep learning, either in an academic and/or industrial research setting (7+ years post-PhD, or equivalent).
You have proven experience in guiding others, e.g. through (co-)supervising PhD students, leading teams, or other equivalent manners.
You have hands-on experience developing and optimizing models and are comfortable with all aspects of the research cycle.
You have strong problem-solving abilities and a collaborative mindset.

Preferred Qualifications   Extensive experience in deep learning research and impactful publications in top-tier machine learning conferences and journals (NeurIPS, ICML, ICLR, CVPR, etc.) are a strong plus, ideally both as first and last author.
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.
The role is…