
Leading Voice Model Engineer
2 days ago
AI Engineers design, develop, and refine cutting-edge voice models that can synthesize human-like speech. In this role, you will work with large-scale datasets to ensure high performance and reliability in multilingual transcriptions.
Key responsibilities include:
- Developing and fine-tuning deep learning models for voice synthesis.
- Implementing and optimizing neural network architectures such as Tacotron, FastSpeech, WaveNet, or similar.
- Collecting, preprocessing, and augmenting speech datasets.
- Collaborating with product and engineering teams to integrate voice models into production systems.
Required skills and qualifications include:
- A Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
- Strong experience with Python and machine learning libraries (e.g., PyTorch, TensorFlow).
- Hands-on experience with speech/audio processing and relevant toolkits (e.g., Librosa, ESPnet, Kaldi).
Become an expert in voice model architectures, deep learning concepts, and model training processes.
Work mode: Remote
Experience with deploying models to real-time applications or mobile devices is a plus. Knowledge of data labeling, voice dataset creation, and noise handling techniques is also desired.
Join a team of innovators who are pushing the boundaries of voice technology.
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