Research Engineer - Audio & Speech Models
Zyphra· R&D - Engineering
San FranciscoFull-timePosted 11mo ago
About the role
Core contributor on Zyphra’s Audio Team building open-source autoencoders, ASR, TTS, SSL, and speech-to-speech models; from data gathering and processing to designing architectures and training methodologies.
Responsibilities
- Large-scale audio training runs
- Performance optimization of our training stack
- Audio dataset collection, processing, and evaluation
- Architecture and training methodology ablations and improvements
Qualifications
- Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models
- Experience in training audio autoencoders
- Understanding of signal processing, especially of audio signals
- Experience with diffusion models, consistency models, or GANs
- Experience with training on large-scale (multi-node) GPU clusters
- Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing
- Understanding of and interest in large-scale, highly parallel data processing pipelines
- Proficiency with PyTorch and Python
- Experience contributing to large pre-existing codebases and rapidly getting up to speed
- Previously published machine learning research in well-respected venues
- Postgraduate degree in Computer Science, EE/EECS, Mathematics, Physics, Machine Learning
Skills
Required:Audio model trainingSignal processingDiffusion / GANs / consistency modelsLarge-scale multi-node GPU trainingExperimental methodologyData processing pipelinesPyTorch / PythonResearch to production mindset
Benefits
- Comprehensive medical, dental, vision, and FSA plans
- Competitive compensation and 401(k) plan
- Relocation and immigration support on a case-by-case basis
- In-office snacks and meals provided
- Unlimited PTO and company holidays
- In-person team in San Francisco with a collaborative, high-energy environment
Last updated Aug 6, 2026. Interested? Apply on the company site.
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