Machine Learning Engineer jobs in United States

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Cisco

Glasgow, United Kingdom

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a63cf4dd8ef2

4

29.06.2025

13.08.2025

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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 team with strong backgrounds in Electrical Engineering, Machine Learning, Speech Processing, and Computer Science. Our expertise includes speech enhancement, speech recognition, speech synthesis, and computer vision. What sets us apart 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 develop pioneering audio software solutions, using machine learning techniques to enhance audio processing and analysis. You will collaborate with 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 next-generation audio software and make a significant industry impact.

Key Responsibilities:

• Collaborate with cross-functional teams to design and implement machine learning models for audio processing, analysis, and enhancement.
• Train, validate, and fine-tune machine learning models for various applications.
• Evaluate and benchmark model performance using appropriate metrics and statistical techniques.
• Work with software engineers to integrate algorithms into audio software products, ensuring seamless functionality and performance.
• Debug and resolve issues related to machine learning algorithms and audio applications.
• Document processes, algorithms, and experiments; communicate findings effectively.

Minimum Qualifications:

• Ph.D. in a relevant field with 0+ years or a Master’s with 3+ years of experience in developing and deploying machine learning models for audio applications.
• Strong programming skills in Python and Matlab, with experience in audio processing libraries (e.g., librosa, torch audio).
• Understanding of machine learning techniques, including deep learning architectures (CNNs, RNNs, GANs) and frameworks (PyTorch).
• Proficiency in data preprocessing, feature extraction, and data augmentation for audio.
• Strong problem-solving skills and creative thinking for audio-related challenges.

Preferred Qualifications:

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