ML Engineer – Speech-to-Speech, Subject Matter Expert
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Job Description
Experienced ML Engineer advising on speech-to-speech pipeline for Vosyn, an AI startup. Collaborate to optimize TTS models and lead technical initiatives.
Responsibilities:
- Provide expert-level advice and mentorship on the architecture, training, and production of text-to-speech (TTS) models
- Guide the implementation of robust testing methodologies for TTS models using industry standards like MOS testing
- Share expertise in distributed training, monitoring, and deployment of large-scale ML models on cloud platforms
- Lead latency optimization initiatives in real-time systems for high-quality speech-to-speech conversion
- Provide guidance on tuning TTS models for precise control over speech characteristics
- Share in-depth knowledge of various TTS model architectures and waveform generation methods
- Mentor the team on implementing advanced deep learning models for audio processing
- Guide the development of transformer architectures for complex TTS model development
Requirements:
- 5+ years of proven experience in machine learning development focused on audio generation and TTS systems
- Extensive expertise in audio signal processing, particularly for human voices
- Deep experience with TTS models, including waveform generation and spectrogram-based methods
- Proven expertise in tuning TTS models for duration control and speech characteristics
- Strong proficiency in Python and machine learning frameworks such as PyTorch
- Experience with advanced deep learning models like WaveNet and transformer-based architectures
- Demonstrated experience in distributed training and deployment of ML models on cloud platforms
- Strong understanding of evaluation metrics for TTS systems
- Proven ability to provide technical leadership and actionable guidance
- Excellent communication and mentoring skills.
Benefits:
- Engage directly with senior management and strategic advisory board members
- Gain valuable experience in the bleeding-edge AI space
- Remote-first culture with flexible working arrangements
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