Machine Learning Researcher, Audio

📋 Description

• Build and scale TTS models with expressive, human-sounding output
• Develop robust ASR systems for real-world voice data
• Research neural audio codecs for high-fidelity, compressed audio
• Design scalable training pipelines for massive audio datasets
• Run rigorous experiments with ablations and metrics
• Collaborate with engineers to deploy models at enterprise scale

🎯 Requirements

• Experience with self-supervised learning, multimodal or generative modeling
• Hands-on experience building or scaling TTS, STT, or neural audio codecs
• Familiarity with large-scale speech datasets and real-world audio variability
• Experience training and serving large models on modern accelerators; optimization incl. quantization
• Track record designing controlled experiments and meaningful ablations
• Strong ownership mindset; comfortable in fast-moving startups

🎁 Benefits

• Healthcare, dental, vision, all the good stuff
• Meaningful equity in a fast-growing company
• Every tool you need to succeed
• Beautiful office in Jackson Square, SF with rooftop views