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 effective on-device inference. By applying your deep understanding of ML systems, you will collaborate globally to create cutting-edge 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 efficiency • Prototype system solutions aligning with Qualcomm AI accelerators • Collaborate to transition research into real-world applications • Contribute to shaping future AI accelerator features • Lead efforts in model deployment strategies

Requirements: • Demonstrated research excellence in ML systems • Deep knowledge of inference algorithms and model compression • Background in graph transformation and compiler stacks • Proficient programming skills in ML development environments • Familiarity with hands-on AI accelerator pipelines

Use your research expertise to lead AI advancements at Qualcomm Canada. #J-18808-Ljbffr

📌 Ai/machine Learning Research Engineer Markham
🏢 Qualcomm
📍 Markham