Research Engineer (in AI-assisted speech therapy) - ZZC

Singapore Institute of Technology; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

A leading university in Singapore is looking for a candidate to contribute to an AI-assisted speech therapy research project. Responsibilities include developing and fine-tuning ASR and TTS models, managing data collection, and ensuring the deployment of models on various platforms. Ideal candidates hold a relevant degree and have experience with speech recognition technologies and programming.

Qualifications

• Experience in training ASR or TTS models, preferably in multilingual contexts.
• Strong proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
• Familiarity with speech data collection and preprocessing.

Responsibilities

• Design, train, and fine-tune ASR and TTS models for high accuracy.
• Oversee data collection and preprocessing with healthcare partners.
• Export and deploy models for real-time use on platforms.

Skills

Automatic Speech Recognition

Text-to-Speech

Python programming

Deep learning frameworks (PyTorch, TensorFlow)

Web development (FastAPI, Flask, React)

Data management

Collaboration and communication

Education

Bachelor's, Master's, or Ph.D. in Computer Science or related field

Job description

Overview

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skills that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to contribute to an applied research project related to AI‑assisted speech therapy in collaboration with hospital partners.

Key Responsibilities

Model Development:

Design, train, and fine‑tune ASR and TTS models to achieve high accuracy and personalization across diverse speech patterns and impairments.

Data Management:

Oversee data collection and preprocessing in collaboration with healthcare partners to ensure quality, diversity, and clinical relevance.

System Integration:

Export and deploy models for real‑time use on mobile and web platforms, and work with developers to ensure seamless integration.

Tooling and Automation:

Develop pipelines and utilities to support data processing, model training, evaluation, and continuous improvement.

Collaboration and Knowledge Transfer:

Document technical processes, contribute to multidisciplinary teamwork, and guide students in applied research and system development.

Job Requirements

Educational Background

Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Master’s degree is preferred.

ASR/TTS Expertise

Experience in training and fine‑tuning Automatic Speech Recognition (ASR) or Text-to-Speech (TTS) models, preferably in multilingual or speech impairment contexts.

Programming Skills

Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience with web development (e.g., FastAPI, Flask, or React) is a plus.

Data Handling

Familiarity with speech data collection, preprocessing, and management to ensure quality and ethical data use.

Deployment Knowledge

Experience exporting and deploying models on cloud or cross‑platform environments.

Collaboration and Communication

Strong teamwork, documentation, and communication skills to work effectively with multidisciplinary teams and healthcare partners.