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kubernetes pytorch jax gpus audio_codecs📋 Description
- Build audio ML stack across codecs and representations.
- Source high-quality audio data for training.
- Train large-scale speech LMs and diffusion models.
- Develop architectures to integrate signals into LLMs.
🎯 Requirements
- Hands-on training of audio models (speech-to-text, TTS, etc)
- Enjoy both research and engineering, ~50/50
- Comfortable from signal processing to large-scale training
- Deep experience with JAX, PyTorch, or distributed training
- Able to debug performance across the full stack
- Strong collaboration and communication
🎁 Benefits
- Annual salary $350,000–$500,000 USD
- Equity and benefits included
- Bachelor's degree required
- Visa sponsorship available
- Flexible hours and generous vacation
- Hybrid policy: 25% in office
🛃 Visa sponsorship
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