We are seeking a talented and innovative Machine Learning expert to join our Audio AI team. As a Speech/Audio Machine Learning Engineer, you will play a crucial role in developing cutting-edge audio software solutions, leveraging machine learning techniques to enhance audio processing and analysis. You will work closely with a multidisciplinary team of engineers, data scientists, and audio experts to create groundbreaking products that push the boundaries of audio technology. This is a unique opportunity to contribute to the development of next-generation audio software and make a significant impact in the industry.
Collaborate with cross-functional teams to design and implement machine learning models and algorithms for audio processing, analysis, and enhancement.
Train, validate, and fine-tune machine learning models for various applications.
Evaluate and benchmark the performance of machine learning models using appropriate metrics and statistical techniques.
Collaborate with software engineers to integrate machine learning algorithms into audio software products and ensure seamless functionality and performance.
Debug and troubleshoot issues related to machine learning algorithms and audio software applications.
Document software development processes, algorithms, and experiments, and communicate findings and recommendations to the team effectively.
Required to have a Ph.D. degree.
Must have Strong programming skills in Python and Matlab, with experience in audio processing libraries (e.g., librosa, torch audio, or similar).
Must understand machine learning techniques, including deep learning architectures (e.g., CNNs, RNNs, GANs) and relevant frameworks (e.g., PyTorch).
Expected to have >=5 years of experience in developing and deploying machine learning models for audio-related applications.
Must be proficiency in data preprocessing, feature extraction, and data augmentation techniques for audio.
Familiarity with audio signal processing concepts, such as Fourier analysis, spectral modeling, and time-frequency representations is essential.
Expected to have trong problem-solving skills and ability to think creatively to devise innovative solutions to audio-related challenges is required.