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Audio Signal Processing and ML Engineer

3 days ago

Full time role

In-person · Foster City, CA, US... more

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

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $187,000 to $241,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.