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

SINGAPORE INSTITUTE OF TECHNOLOGY; Serangoon Garden Circus; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading educational institution in Singapore is seeking a candidate to contribute to an applied research project related to AI-assisted speech therapy. This role involves designing ASR and TTS models, overseeing data management, and collaborating with healthcare partners. Ideal candidates should hold a relevant degree and possess strong programming skills in Python, alongside experience in model training and deployment.

Qualifications

• Preferred Master's degree in a relevant field.
• Experience with ASR/TTS models in multilingual contexts.
• Familiarity with ethical data handling and management.
• Knowledge of deploying models in cloud environments.

Responsibilities

• Design, train, and fine-tune ASR and TTS models.
• Oversee data collection and ensure quality and diversity.
• Export and deploy models for real-time applications.
• Develop tooling for data processing and model training.
• Document technical processes and guide students.

Skills

Strong proficiency in Python

Deep learning frameworks (PyTorch, TensorFlow)

Training ASR and TTS models

Web development frameworks (FastAPI, Flask, React)

Education

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