Senior Deep Learning Scientist, Speech Synthesis
USD 184K-339K (estimate) Senior-level Full Time
Tasks
- Analyze accuracy and bias
- Benchmark model performance
- Build TTS datasets for training and evaluation
- Characterize quality metrics across platforms
- Collaborate on new features and issue triage
- Improve speech data augmentation
- Improve speech data filtering
- Improve speech data processing pipelines
- Maintain TTS evaluation system
- Participate in code reviews
- Participate in design reviews
- Participate in test plan reviews
- Prepare TTS training datasets
- Train speech synthesis mel spectrogram models
- Train vocoder models
Perks/Benefits
- N/A
Skills/Tech-stack
CUDA | CUDNN | Convolutional Neural Networks | DSP Feature Extraction | Data Augmentation | Data Filtering | Deep learning | Digital Signal | Digital Signal Processing | Fast Fourier Transform | Feature extraction | Fourier transform | G2P | Gerrit | Git | GitLab | Inverse Text Normalization | Long Short-Term Memory | MFCC | Machine Learning | Mel Spectrogram | Neural Networks | PyTorch | Python | Recurrent Neural Networks | Short Term Memory | Signal Processing | Speech synthesis | Speech-to-speech | TensorRT | Text Normalization | Text to Speech | Transformers | Voice Cloning
Education
Regions
Countries
States
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