Shape cutting-edge AI solutions with Qualcomm Canada as an AI/Machine Learning Research Engineer. Engage in pioneering research on system optimization and model compression techniques.Joining Qualcomm's Low Power AI Solution team, you will lead initiatives focused on productive on-device inference. By applying your deep understanding of ML systems, you will collaborate globally to create innovative solutions that optimize hardware and software interactions.



Your work will significantly impact Qualcomm's AI accelerator capabilities and advance the field of embedded intelligence.Key Responsibilities:Research ML system optimization and inference efficiencyPrototype system solutions aligning with Qualcomm AI acceleratorsCollaborate to transition research into real-world applicationsContribute to shaping future AI accelerator featuresLead efforts in model deployment strategiesRequirements:Demonstrated research excellence in ML systemsDeep knowledge of inference algorithms and model compressionBackground in graph transformation and compiler stacksProficient programming skills in ML development environmentsFamiliarity with hands-on AI accelerator pipelinesUse your research expertise to lead AI advancements at Qualcomm Canada.#J-18808-Ljbffr

📌 Ai/Machine Learning Research Engineer (Markham)
🏢 Qualcomm
📍 Markham