AI/Machine Learning Engineer (Embedded Systems, Inference Efficiency)
Markham, ONOn-site
Qualcomm Canada ULC
2+ YOECandidates need research-level expertise in inference efficiency, neural network architectures and model compression, plus a strong background in compilers and ML system optimization for AI accelerators. A bachelor's degree with 2+ years of related experience, a master's with 1+ year, or a PhD is required.
Machine learning, Embedded systems, Research, ML, Architectural design, Scheduling