Audio Machine Learning Engineer

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:

1. Collaborate with cross-functional teams to design and implement machine learning models and algorithms for audio processing, analysis, and enhancement.
2. Train, validate, and fine-tune machine learning models for various applications.
3. Evaluate and benchmark the performance of machine learning models using appropriate metrics and statistical techniques.
4. Collaborate with software engineers to integrate machine learning algorithms into audio software products and ensure seamless functionality and performance.
5. Debug and solve issues related to machine learning algorithms and audio software applications.
6. Document software development processes, algorithms, and experiments, and communicate findings and recommendations to the team effectively.

Our Minimum Qualifications for this Role:

1. 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.
2. Strong programming skills in Python and Matlab, with experience in audio processing libraries (e.g., librosa, torch audio, or similar).
3. Understanding of machine learning techniques, including deep learning architectures (e.g., CNNs, RNNs, GANs) and relevant frameworks (e.g., PyTorch).
4. Proficiency in data preprocessing, feature extraction, and data augmentation techniques for audio.
5. Strong problem-solving skills and ability to think creatively to devise innovative solutions to audio-related challenges.

Our Preferred Qualifications for this Role:

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

Why Cisco?

#WeAreCisco. We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. Nearly every internet connection around the world touches Cisco. We’re the Internet’s optimists. Our technology ensures data traveling at light speed across connections does so securely. We’re helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times.

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. Giving back is in our DNA (we get 10 days off each year to do just that).

We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way.