Audio AI Engineer
Core
Develop and deploy machine-learning models to detect synthetic speech and audio deepfakes, protecting users from fraud and ensuring platform trust.
Role type
Senior IC audio AI researcher and engineer
Builds
Production-ready deepfake detection systems for Zoom's communication platform
Domain
AI/ML, Speech/Audio Processing, Cybersecurity
Deliverable
production ML models
Required skills
Machine learning, deep learning, audio signal processing, experimental design, Python, PyTorch/TensorFlow, model evaluation
Preferred skills
Audio deepfake detection, anti-spoofing, speaker recognition, generative audio, voice cloning, adversarial machine learning, large-scale audio datasets
Technologies
Python, PyTorch, TensorFlow
Responsibilities
Research and develop ML models for audio deepfake detection; Design training datasets and evaluation frameworks; Improve model accuracy across diverse speakers and environments; Analyze model failures and engineer solutions; Translate research prototypes into scalable production systems; Collaborate cross-functionally with research, engineering, product, and security teams.
Seniority
Senior, hands-on IC
