AI Research Engineer- Speech 1
Tasks
- Align speech encoders with LLM backbones
- Build large audio reasoning models
- Create audio reasoning evaluation frameworks
- Design large audio language models
- Develop speech to speech systems
- Implement efficient speech tokenization
- Optimize inference for low latency streaming
- Transfer research to production systems
- Write technical documentation and research papers
Perks/Benefits
Skills/Tech-stack
Acoustic Modeling | Audio Representations | Audio Tokenization | Audio codecs | CUDA | DeepSpeed | Distributed Training | FSDP | FastAPI | GRPC | Hugging Face | Hugging Face Transformers | Librosa | LoRA | LoRA adapters | Neural audio codecs | ONNX | PyTorch | Python | Quantization | Signal Processing | Speech signal processing | TensorRT | TorchAudio | Transformers | Vocoder | Weights and Biases
Education
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