Senior Machine Learning Engineer, Motorola Solutions

• Master's degree in a technical field
• 5+ years of professional experience in machine learning engineering, with a focus on deploying models to edge devices
• Strong understanding of model optimization techniques (quantization, pruning, knowledge distillation)
• Experience in C++/Python programming and working with embedded systems
• Strong communication skills and ability to work collaboratively in a team-oriented environment

Desirable

• Join our growing Perception AI team within Motorola Solutions' AI R&D group, as we expand from six to eight members. We are dedicated to public safety by advancing the research and development of cutting-edge perception models specifically for video security
• You will contribute to building impactful AI solutions deployable both on-camera and in the cloud, directly enhancing safety and situational awareness in real-world environments
• As a Senior Machine Learning Engineer, you will focus on deploying AI/ML models to a variety of edge devices, with particular expertise in converting models for Ambarella and Novatek SoCs
• You will collaborate with cross-functional teams to ensure the efficient integration and optimization of models, ensuring they run seamlessly on low-power, resource-constrained devices
• Convert, optimize, and deploy deep learning models for edge devices, focusing on Ambarella and Novatek SoCs
• Collaborate with data scientists, hardware engineers, and software developers to tailor models for resource-constrained environments
• Develop and implement model compression, quantization, and pruning techniques to improve performance
• Work closely with edge device firmware teams to ensure seamless integration of models and efficient execution on device hardware
• Contribute to the continuous improvement of machine learning deployment processes and tools within the organization