As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs.
$162,000.00 - $243,000.00
- Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
- Models, architects, and develops advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
- Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features.
- Collaborates with hardware teams for joint design and development.
- Develops and applies machine learning techniques into products and/or AI solutions to enable customers to do the same.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
- Master's degree in Computer Science, Engineering, Information Systems, or related field
- PhD in Computer Science, Engineering, Information Systems, or related field
- Nice to have: Tensor Flow
- Nice to have: Caffe
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