Audio Machine Learning Engineer.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today, but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.Who are we?

The BabbleLabs team, part of Cisco WebEx. We are a dedicated bunch with strong backgrounds in Electrical Engineering, Machine Learning, Speech Processing and Computer Science. Our areas of expertise include speech enhancement, speech recognition, speech synthesis, and computer vision. But what sets our team apart from the crowd, is our vibrant and unwavering pursuit of excellence

Overview:

We are seeking a dedicated 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 pioneering audio software solutions, using 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 build 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.

Key Responsibilities:

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 solve 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.

Our Minimum Qualifications for this Role:

Ph.D. in relevant field with 0+ years or Masters in relevant field with 3+ years of experience in developing and deploying machine learning models for audio related applications. 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). Must be proficiency in data preprocessing, feature extraction, and data augmentation techniques for audio. Expected to have strong problem-solving skills and ability to think creatively to devise innovative solutions to audio-related challenges is required.

Our Preferred Qualifications for this Role:

Familiarity with audio signal processing concepts, such as Fourier analysis, spectral modeling, and time-frequency representations is essential.