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
- Solid 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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