Machine Learning Engineer

What you'll do

• Develop, adapt, or prototype machine learning algorithms, models, and frameworks aligned with the product roadmap.
• Extend training or runtime frameworks and model efficiency software tools with new features and optimizations.
• Assist in the modeling, architecture, and development of machine learning hardware for inference or training solutions.
• Develop optimized software such as machine learning kernels and compiler tools to enable AI models on specific hardware.
• Integrate machine learning techniques into products and AI solutions to enhance customer experiences.
• Implement machine learning techniques and tools to facilitate the discovery of state-of-the-art solutions across various technology verticals.

What we're looking for

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• Master's degree in Computer Science, Engineering, Information Systems, or a related field (preferred).
• 1+ year of experience with Machine Learning frameworks such as TensorFlow, Caffe, Pytorch, or Keras (preferred).
• 1+ year of experience in embedded system development and optimization for ML domains like NLP or multi-media (preferred).
• 1+ year of experience with programming languages suitable for machine learning such as Python, R, C, or C++ (preferred).
• 1+ year of experience using statistics and probability including conditional probability and Bayes rule (preferred).
• 1+ year of experience working in a large matrixed organization (preferred).
• 6+ months of experience with low level interactions between operating systems like Linux, Android, or QNX and hardware (preferred).