Research Scientist - Speech & Audio Understanding (speech Generation)
Tencent Music Entertainment Group
Bellevue, Washington, US
Base: $122,500.00 to $229,700.00 py; bonus/equity:...
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Master's or ph.d. in computer science
Experience with voice foundation models
Proficiency in pytorch deep learning framework
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Tencent Music Entertainment Group is seeking a Research Scientist specializing in Speech & Audio Understanding, focusing on advancing speech generation and multimodal voice technologies. The role requires a strong background in AI, computer science, or related fields, with expertise in voice foundation models and deep learning frameworks.
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Job Summary
The role involves tracking the latest research in speech generation algorithms and exploring next-generation paradigms for audio generation.
Candidates will lead technical R&D of voice foundation models to enhance voice interaction experiences by integrating text, speech, and vision.
Employees are eligible for a sign-on payment, relocation package, restricted stock units, and up to 25 days of vacation per year.
Matching Summary
Match Score: 75
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Tencent Music Entertainment Group is seeking a Research Scientist specializing in Speech & Audio Understanding, focusing on advancing speech generation and multimodal voice technologies. The role requires a strong background in AI, computer science, or related fields, with expertise in voice foundation models and deep learning frameworks.
**
Salary
Base: $122,500.00 to $229,700.00 per year; Bonus/Equity: Sign-on payment and restricted stock units available; Benefits: Medical, dental, vision, life, disability, 401(k), and paid leave included
Skills & Requirements
Must-have
Master's or Ph.D. in Computer Science
Experience with voice foundation models
Proficiency in PyTorch deep learning framework
Nice-to-have
Experience with Megatron/Deepspeed frameworks
Familiarity with GPT4o or GLM-4-Voice models
Prior project experience in audio generation
Key Requirements
Master's or Ph.D. degree required
Background in Signal Processing or Electronic Engineering