Cisco Audio Machine Learning Engineer 

United Kingdom, Scotland, Glasgow 

893318240

• 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.

• 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.

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

We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another – from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that).