Staff Machine Learning Engineer, Audio - Singapore Efficiency Team
Core
Build assistive audio tooling using audio processing, voice/speech, and music techniques to remove repetitive steps from sound designers' workflows.
Role type
Staff Machine Learning Engineer (Audio Production Efficiency)
Builds
Production ML models and tools for audio asset management, generative audio, and neural vocoders
Domain
Gaming industry, Audio Machine Learning
Deliverable
production ML models
Required skills
Audio ML (generative audio, neural vocoders, TTS, music modeling), Generative Models (diffusion, flow matching, VAEs, transformers), Python/C/C++/C#, PyTorch/TensorFlow/JAX, Statistical analysis, Experimental design
Preferred skills
Gaming industry experience, Player empathy
Technologies
PyTorch, TensorFlow, JAX, C++, C#, Python
Responsibilities
Build assistive audio tooling to automate repetitive editing and processing; Partner with sound designers to target costly authoring work; Define and run evaluations for audio quality and time savings; Follow developments in audio/speech ML and judge production viability
Seniority
Staff, hands-on IC with mentorship