ML Engineer - Audio Processing Expertise

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April 1

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Vosyn

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Artificial Intelligence • Telecommunications • SaaS

Vosyn is a company dedicated to creating a connected and inclusive world through advanced AI technologies. Specializing in real-time translation, adaptive learning, and personalized user experiences, Vosyn offers platforms like VosynVerse and VosynCore. VosynVerse focuses on delivering global content that transcends language barriers, while VosynCore harnesses linguistic diversity and AI to facilitate seamless multilingual communication. VosynConnect provides tailored solutions for integrating products and services across multiple sectors. The company aims to revolutionize real-time voice synthesis and language translation, fostering a global community with unlimited connectivity. Vosyn's innovations strive to make technology universally accessible and intuitive, setting the stage for a barrier-free global interaction.

201 - 500 employees

🤖 Artificial Intelligence

📡 Telecommunications

☁️ SaaS

📋 Description

• 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.