Senior Machine Learning Engineer, Voice AI
Tasks
- Build model serving stack for speech to text and text to speech
- Build voice model evaluation framework
- Design memory management for audio workloads
- Enable new model architectures in serving stack
- Ensure latency and reliability for real time voice APIs
- Integrate and optimize partner models in infrastructure
- Measure WER across accents languages and noise conditions
- Measure naturalness latency and pronunciation accuracy
- Optimize inference performance for voice models
- Productionize models with batching and streaming inference
- Profile and debug inference bottlenecks
- Ship measurable inference performance improvements
- Support voice model fine tuning capabilities
Perks/Benefits
Skills/Tech-stack
Audio codecs | Audio signal processing | Automatic Speech Recognition | Batching | CUDA | GPU Profiling | Inference Optimization | LLM serving | Memory Management | Model Serving | PyTorch | Python | SGLang | Signal Processing | Speech Recognition | Streaming inference | TensorRT-LLM | Text to Speech | Tokenization | VLLM | WER Evaluation
Education
Regions
Countries
States
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