Machine Learning Engineer (Speech/Audio) - Singapore
Core
Build and maintain large-scale speech/audio data pipelines and optimize speech/language models for Plaud's AI productivity tools.
Role type
Machine Learning Engineer (Speech/Audio)
Builds
Data pipelines for model training and optimized speech recognition models
Domain
AI / Speech Technology / Audio Processing
Deliverable
production ML models
Required skills
Python, PyTorch, distributed data processing (Spark, Ray), ASR/SpeechLLM model training, fine-tuning, evaluation, large-scale data engineering
Preferred skills
SpeechLLM/speech SSL concepts, hotword/contextual-biasing, code-switching ASR improvements, publications at Interspeech/ICASSP
Technologies
PyTorch, Spark, Ray, Gemini, Claude Code
Responsibilities
Own large-scale speech/audio data pipelines; Support model training and optimization; Domain adaptation; Build evaluation frameworks
Seniority
Mid-level, hands-on IC
