Audio Signal Processing and ML Engineer - Zoox

Job Title: Audio Signal Processing and ML Engineer
Job Location: Foster City, CA
Job Listing URL: https://jobs.lever.co/zoox/3cd34fd8-f79d-47f6-9894-bc2a3217db22
Job Description: At Zoox, you’ll collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, machine learning, localization, computer vision, and simulation. You’ll master new technologies while working on code, algorithms, and research in your area of expertise to create and refine key systems and move Zoox forward.

The Audio Team at Zoox is seeking an experienced audio perception engineer. In this role, you will develop and implement novel machine learning architectures and algorithms for understanding and processing audio events in complex urban settings. You will have access to the sensor data from state-of-art microphone arrays and an incredible infrastructure for algorithm testing and validation. You will develop critical audio perception systems that enhance our autonomous vehicles' environmental awareness and safety, while working with cutting-edge technology to shape the future of transportation
In this role, you will:
Design and implement real-time perception algorithms for audio event detection and environmental sound understanding
Develop and optimize audio processing software pipelines for autonomous vehicle applications
Collaborate with cross-functional teams to integrate audio perception with other sensor modalities
Build and maintain production-quality code for deployment on GPU/CUDA systems
Develop multimodal sensor fusion algorithms for environmental event detection including foundational models
Qualifications
Master's degree or PhD in Computer Science or related field
Experience with signal processing algorithms related to audio and speech processing
Experience with machine learning techniques such as deep neural nets (DNN, CNN, LSTM-RNN) and traditional statistical modeling/feature extraction techniques (GMM, HMM, NMF / spectrograms, MFCC etc) for voice recognition and audio event classification.
Hands-on and theoretical background of signal processing techniques including adaptive filtering, filter banks and wavelet processing, speech analysis and synthesis, speech and audio coding
5+ years of industry experience in machine learning
Strong programming skills in C++ and Python
Expertise in deep learning frameworks (PyTorch, TensorFlow, or similar)
Demonstrated ability to handle large datasets efficiently
Strong mathematical foundation in probabilistic technique
Bonus Qualifications
Experience with sensor fusion
Background in autonomous systems or robotics
Publications in conferences related to computational auditory scene analysis (D-CASE, ICASSP, or WASPAA)
Experience with contact sensor or accelerometer data processing
Knowledge of microphone array processing and beamforming

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