Research, Audio Expertise
Core
Advancing the frontier of audio capabilities in multimodal AI systems to enable natural communication and collaboration.
Role type
Researcher (Audio/Multimodal)
Builds
Large-scale audio models, data pipelines, and training infrastructure.
Domain
Artificial Intelligence / Audio / Machine Learning
Deliverable
production ML models
Required skills
experimental design, machine learning fundamentals, distributed compute, Python, deep learning frameworks
Preferred skills
probability and statistics, real-time inference, large-scale audio model training, public audio research, ASR/TTS/self-supervised learning
Technologies
PyTorch, TensorFlow, JAX
Responsibilities
Own research projects on audio training and low-latency inference; Design and train large-scale models supporting audio I/O; Investigate scaling behavior of data, model size, and compute; Build and maintain audio data pipelines; Collaborate on scaling audio training across distributed systems; Publish and present research.
Seniority
Individual Contributor (Researcher)