Principal ML Engineer
Tasks
- Architect ML pipelines for experimentation and inference
- Deploy ML models to production
- Enable A B testing in production
- Implement continual learning and model versioning
- Improve audio dataset quality and labeling pipelines
- Mentor ML engineers and research scientists
- Optimize models for real time latency and memory
Perks/Benefits
- N/A
Skills/Tech-stack
ASR | Audio augmentation | CNN | CTC | DSP | Druid | Feature Engineering | Flink | Hugging Face | Hugging Face Transformers | JAX | Kafka | LSTM | MLOps | Model Inference | Model Training | ONNX | Pinot | PyTorch | Python | RNN | Speaker Verification | TTS | TensorFlow | TensorRT | TorchAudio | TorchScript | Transformers
Education
N/A
Regions
Countries
States
Cities
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