Sr. Audio Speech Processing Machine Learning Engineer

Job Description: We are seeking a talented and motivated Audio Speech Processing Machine Learning Engineer to join our dynamic team. The successful candidate will design, develop, and optimize machine learning models for audio and speech processing applications, including but not limited to speech separation, speaker identification, and speech enhancement. This role requires a deep understanding of machine learning, signal processing, and software engineering to deliver robust and scalable solutions. Responsibilities: -Design and develop, optimize and deploy machine learning models for audio and speech processing tasks, such as speech separation, speaker identification, and speech enhancement -Preprocess and analyze audio datasets to extract meaningful features for model training. -Optimize models for performance, scalability, and deployment on resource-constrained devices (e.g., edge devices). -Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate models into production systems. -Stay up-to-date with the latest research in audio processing, deep learning, and related fields, and apply findings to improve system performance. -Conduct experiments to validate model performance and iterate on improvements based on real-world data. -Contribute to the development of tools and pipelines for audio data collection, annotation, and augmentation. -Ensure models are robust, efficient, and meet real-time processing requirements. -Document technical processes, methodologies, and findings for team knowledge sharing.