About this role
Own and maintain large-scale speech and audio data pipelines for model training and quality control. Partner with engineers to optimize speech/language models, focusing on recognition accuracy and domain adaptation.
Requires 3+ years of experience in speech, machine learning, or large-scale data engineering with proficiency in Python and PyTorch. Must have experience in ASR/LLM training or distributed data processing using tools like Spark or Ray.
What they're looking for
PythonPyTorchASRSpeechLLMLarge-scale Data EngineeringDistributed Data ProcessingSparkRay
Frequently asked questions
What does a Machine Learning Engineer (Speech/Audio) - Singapore at Plaud do?
Own and maintain large-scale speech and audio data pipelines for model training and quality control. Partner with engineers to optimize speech/language models, focusing on recognition accuracy and domain adaptation. Requires 3+ years of experience in speech, machine learning, or large-scale data eng…
What skills does this Machine Learning Engineer (Speech/Audio) - Singapore role need?
Key skills for this role include Python, PyTorch, ASR, SpeechLLM, Large-scale Data Engineering, Distributed Data Processing.
How much does a Machine Learning Engineer (Speech/Audio) - Singapore at Plaud pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Machine Learning Engineer (Speech/Audio) - Singapore role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Machine Learning Engineer (Speech/Audio) - Singapore role?
You can apply directly on Plaud's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.
