Machine Learning Engineer

Position: Machine Learning Engineer at Qualcomm
Drive AI innovation with Qualcomm Canada as a Machine Learning Engineer. Contribute to advanced model efficiency and ML system optimization for on-device inference solutions.

As part of the Low Power AI Solution team, you will engage in cutting-edge research focusing on inference efficiency and system optimization. Collaboration with global teams will be key as you design efficient architectures and streamline model compression techniques. This role emphasizes hands-on development and strategic initiatives, shaping the future capabilities of Qualcomm’s AI accelerators.

Key Responsibilities:

• Conduct research on model compression and inference efficiency

• Develop software-hardware co-design system solutions

• Collaborate with teams to create low power AI systems

• Influence future accelerator features and deployment strategies

• Convert research findings into production-ready solutions

Requirements:

• Proven research records in inference efficiency

• Expertise in model compression and neural network architectures

• Background in compiler stack optimization for AI accelerators

• Strong programming skills with ML frameworks

• Experience with AI accelerator model development pipelines

Leverage your expertise to redefine AI capabilities at Qualcomm Canada.
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