Practical and theoretical knowledge of machine learning architecture design and training/testing methodologies.
Experience building machine learning pipelines
Excellent software architecture and programming skills in Python, C, C++
Knowledge of audio technologies
MS, in CS or EE, industry and research experience
Proven experience in machine learning development, including audio and speech applications.
Experience optimizing and compressing machine learning models for resource constrained platforms.
Familiarity and experience with multimodal large language models (LLMs)
Demonstrated innovation in machine learning (patents, publications)
Fundamentals of audio and speech signal processing
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