Oddin.gg
201 - 500 employees
Founded 2018
🎮 Gaming
🤝 B2B
👥 B2C
Gaming • B2B • B2C
Oddin. gg is a leading provider in the esports betting industry, offering a comprehensive suite of products that enhance betting experiences for both B2B platform providers and B2C operators. Their services include integration of esports odds, risk management solutions, and a user-friendly back-office platform to streamline operations. With a strong commitment to engaging new generations of bettors and ensuring integrity in esports betting, Oddin. gg is positioned as a market leader in this rapidly growing sector.
Research Scientist, Text-to-Speech
Job not on LinkedIn
🕒 February 18
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Oddin.gg
201 - 500 employees
Founded 2018
🎮 Gaming
🤝 B2B
👥 B2C
Gaming • B2B • B2C
Oddin. gg is a leading provider in the esports betting industry, offering a comprehensive suite of products that enhance betting experiences for both B2B platform providers and B2C operators. Their services include integration of esports odds, risk management solutions, and a user-friendly back-office platform to streamline operations. With a strong commitment to engaging new generations of bettors and ensuring integrity in esports betting, Oddin. gg is positioned as a market leader in this rapidly growing sector.
📋 Description
• Research and train fast and quality SOTA TTS models for realistic and emotional voice generation for entertainment and education applications • Experiment with different architectures / data to improve the quality and speed of the TTS model(s) and put the best results to production. • Stay up to date with current research and come up with new ideas / what to improve • Collaborate with a team of 3 researchers specializing in TTS
🎯 Requirements
• Experience with training some text-to-speech / voice cloning models • Solid knowledge of transformers, diffusion models, GANs • Understanding of human speech and audio processing (sampling, spectrograms, vocoders) • Proficiency in Python and key libraries (e.g., PyTorch, Hugging Face Transformers). • Ability to keep up to date with research, understand papers, implement approaches; strong ML fundamentals and critical thinking • Familiarity with modern speech synthesis models (GPT-based, flow matching… such as Vevo, StyleTTS, IndexTTS, Maskgct etc.) • Contributions to open-source AI tools or research publications in Speech processing field • Familiarity with AWS / similar clusters
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