Machine Learning Engineer (Speech & Voice)

Join our AI team to design, train, and optimize cutting-edge speech recognition and text-to-speech models for multilingual dubbing. You'll work on state-of-the-art models like Whisper, VITS, and FastSpeech to enable seamless voice conversion across languages and accents.

• Research, design, and implement ML models for speech recognition and TTS
• Optimize model performance for real-time inference and production deployment
• Collaborate with product and engineering teams to integrate ML models into our platform
• Experiment with multi-language and accent adaptation techniques
• Monitor and improve model quality metrics across different languages
• Stay current with latest research in speech synthesis and voice conversion

• 3+ years experience with PyTorch or TensorFlow
• Experience in ASR, TTS, or voice conversion
• Familiarity with multi-language and accent adaptation
• Strong understanding of deep learning architectures (Transformers, CNNs, RNNs)
• Experience with model optimization and deployment

• Published research in speech/audio processing
• Experience with Whisper, VITS, or FastSpeech
• Knowledge of audio signal processing
• Experience with distributed training