Senior Audio AI Research Engineer
Core
Research and prototype real-time Audio AI solutions for video collaboration products, optimizing multi-modal systems to enhance communication experiences globally.
Role type
Senior IC Audio AI Research Engineer
Builds
Real-time audio streaming solutions and multi-modal AI features for video conferencing platforms
Domain
Consumer electronics / Audio AI / Machine Learning
Deliverable
production ML models
Required skills
Machine learning frameworks (TensorFlow, PyTorch), Python, performance analysis and optimization of ML systems, hands-on deployment (TensorFlow Lite, ONNX, TVM, Glow), cloud compute environments (AWS), data ingestion pipelines, source control (GitHub, Jira)
Preferred skills
Research publications in ICASSP/Interspeech, Audio Engineering and Acoustics, embedded systems constraints
Technologies
TensorFlow, PyTorch, Python, TensorFlow Lite, ONNX, TVM, Glow, AWS, GitHub, Jira
Responsibilities
Explore innovative ways to leverage distributed microphone arrays and cameras for participant identification and positioning; Address complex challenges by optimizing integration within the Audio AI pipeline and developing strategies to minimize bias against noise and reverberation; Conduct in-depth research on emerging challenges including multi-modal solutions integrating audio, video, and sensor data; Develop advanced audio streaming solutions for low-latency, real-time causal AI systems; Rapidly prototype Audio AI technologies by implementing and extending research papers
Seniority
Senior, hands-on IC