Job Summary: We are seeking a highly skilled and motivated Machine Learning Signal Processing Engineer with expertise in acoustics, machine learning, and signal processing. The ideal candidate will be responsible for developing and optimizing algorithms to process acoustic signals, leveraging machine learning techniques to solve complex challenges in audio analysis, speech enhancement, noise reduction, and related fields. This position is hiring at multiple levels (Entry up to Principal Engineer). Responsibilites:

Design, develop, and implement machine learning algorithms for processing acoustic signals.

Develop signal processing algorithms for audio enhancement, noise suppression, and feature extraction.

Analyze large-scale acoustic datasets to build predictive models and improve algorithmic performance.

Collaborate with cross-functional teams, including hardware engineers, software developers, and data scientists, to optimize system performance.

Evaluate and validate algorithm performance using industry-standard metrics and real-world data.

Stay up-to-date with the latest advancements in machine learning, signal processing, and acoustics to propose innovative solutions.

Optimize algorithms for deployment on edge devices and cloud platforms.

Document technical solutions, algorithms, and research findings.