AI Video & Multimodal ML Research Engineer

Singapore Management University; Singapore; Sur place; SGD 60 000 - 90 000; Plein temps

Résumé du poste

Singapore Management University in Singapore seeks a researcher for the School of Computing and Information Systems to develop AI models that process and explain video data. The role focuses on multimodal representation learning, self-supervised methods, and domain adaptation, with collaboration with a clinical partner.

The candidate should have a Bachelor's in CS/IT/IS and 1+ years of AI/ML research experience, plus Python, TensorFlow, and PyTorch proficiency.

Qualifications

• Bachelor's degree in CS/IT/IS or closely related disciplines.
• 1+ years of relevant AI/ML research experience.
• Proficiency in Python, TensorFlow and PyTorch.
• Experience building AI/ML models, multimodal AI, and video analysis.
• Strong analytical, technical and problem-solving skills.
• Publications in AI & Health areas advantageous.
• Self-motivated, able to work independently and in a team.

Responsabilités

• Develop and experiment an AI model to process and explain video data.
• Multimodal representation learning (videos/images + texts, etc.).
• Self-supervised learning.
• Domain adaptation.
• Work with a clinical partner.
• Large language models.

Connaissances

AI/ML research

Multimodal AI

Video analysis

Self-supervised learning

Domain adaptation

Analytical skills

Team collaboration

Independent work

Python programming

Formation

Bachelor's degree in Computer Science/Information Technology/Information Systems

Outils

Python

TensorFlow

PyTorch

Description du poste

Singapore Management University in Singapore seeks a researcher for the School of Computing and Information Systems to develop AI models that process and explain video data. The role focuses on multimodal representation learning, self-supervised methods, and domain adaptation, with collaboration with a clinical partner.

The candidate should have a Bachelor's in CS/IT/IS and 1+ years of AI/ML research experience, plus Python, TensorFlow, and PyTorch proficiency.