Staff Machine Learning Engineer

Develop and optimize machine learning frameworks, tools, models, and software for efficient deployment on specialized hardware. Collaborate with hardware and software teams to design inference and training solutions, apply ML techniques to products, and evaluate models through experiments., * Extend machine learning training or runtime frameworks and model-efficiency tools with features and optimizations.

• Model, architect, and develop machine learning hardware for inference or training solutions.
• Develop optimized software, kernels, compiler tools, and model-efficiency tools for AI models deployed on hardware.
• Apply machine learning techniques to products and customer AI solutions.
• Prototype novel machine learning solutions for complex product roadmaps.
• Conduct experiments to train and evaluate machine learning models and software.

• Machine learning frameworks
• Tensor
• Flow
• Caffe
• Py
• Torch
• Keras
• Embedded systems development
• Embedded systems optimization
• Python
• RCC++Statistics and probability
• Linux
• Android
• QNXMachine learning kernels
• Compiler tools
• Model efficiency tools