Senior Deep Learning Researcher – Model Efficiency - Qualcomm - Amsterdam
Core
Researching and developing novel techniques to optimize Large Language Models (LLMs) and Large Vision Models (LVMs) for on-device efficiency, including quantization, compression, and efficient data types.
Role type
Senior Deep Learning Researcher (Model Efficiency)
Builds
Optimized foundation models deployable on edge devices (mobile phones, robots, AR/VR headsets, automated vehicles)
Domain
AI Research / Machine Learning / Edge Computing
Deliverable
production ML models
Required skills
Deep learning research, model optimization, Python, PyTorch/Jax, academic or industrial research experience
Preferred skills
First-author publications in top-tier ML conferences (NeurIPS, ICML, ICLR, CVPR), experience with hardware accelerators, technology leadership
Technologies
PyTorch, Jax
Responsibilities
Design, experiment, and implement novel solutions for inference efficiency; collaborate with teams to deploy ideas on millions of devices; publish research findings in top-tier conferences and journals
Seniority
Senior, hands-on IC
