#200570172-3
Description**
As part of the audio team, you will: Develop machine learning model architectures for solving various problems in audio, including sound event detection, scene classification and context understanding. Train, fine tune and compress models for production Contribute to the team's workflows building pipelines, writing datasets, and creating evaluation frameworks Participate in cross-functional teams developing features and shipping products Create intellectual property in the form of patents and publications
Minimum Qualifications
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
Preferred Qualifications
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
Additional Requirements
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