Staff Machine Learning Engineer, Voice AI
Tasks
- Architect batching streaming inference
- Build speech evaluation framework
- Design serverless and dedicated endpoints
- Enable audio native and codec based model support
- Ensure latency and reliability SLAs
- Evaluate STT using WER
- Evaluate TTS naturalness latency pronunciation
- Implement memory management
- Integrate model partners and optimize
- Lead model fine tuning capabilities
- Optimize voice inference performance
- Own voice model serving stack
- Profile GPU utilization and performance
- Root cause kernel and framework bottlenecks
- Support speech to speech systems
Perks/Benefits
Skills/Tech-stack
Audio codecs | Audio signal processing | Batching | CUDA | Deep learning | Evaluation Frameworks | GPU Profiling | Inference Optimization | LLM serving | Machine Learning | Memory Management | Model Serving | PyTorch | Python | SGLang | Signal Processing | Speech Recognition | Streaming inference | System design | TensorRT-LLM | Text to Speech | Tokenization | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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