Audio AI Engineer
Tasks
- Build multilingual speech to text model
- Build reproducible evaluation pipelines
- Document model cards dataset documentation and evaluation results
- Evaluate word and character error rate and latency
- Fine tune and compress ASR models
- Handle loanword transcription and transliteration decisions
- Ingest clean segment label and version audio and transcript data
- Monitor deployed production ML systems
- Optimize model size latency and accuracy for on device execution
- Package language specific model weights for on demand download
Perks/Benefits
- 401k matching
- Career development training via technical and management training
- Commuter benefits
- Flexible spending account
- Flexible time off
- Flexible work schedules
- Health, dental, and vision plans
- Life insurance
- Mentorship program
- Paid training opportunities
- Remote work for eligible projects
- Telework options
- Tuition reimbursement
Skills/Tech-stack
ASR | Character Error Rate | Data pipeline | Distillation | Error rate | Hugging Face | Hugging Face Transformers | Librosa | LoRA | Machine Learning | Machine learning deployment | Model Evaluation | PEFT | Production ML | Pruning | PyTorch | Python | QLoRA | Quantization | SQL | Speech Recognition | TorchAudio | Word Error Rate
Education
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