Research Engineer (Intern)

• Design and develop machine learning and deep learning models for medical image analysis (e.g., CT, MRI, X-ray, ultrasound)
• Preprocess and annotate medical imaging datasets
• Collaborate with clinicians, radiologists, and data scientists to define research goals and validate results
• Implement and optimize image segmentation, classification, and detection algorithms
• Contribute to the deployment of AI models into clinical workflows or cloud-based platforms
• Stay current with the latest research in AI, computer vision, and medical imaging.

• Bachelor’s degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field (students and interns are encouraged to apply).
• Proficient programming skills in Python (C++ experience is a plus).
• Hands-on experience with PyTorch.
• Strong problem-solving abilities and excellent communication skills.
• Capable of working independently as well as within cross-functional teams.
• Familiarity with human anatomy, image processing techniques, and medical imaging modalities (a plus).
• Exposure to federated learning, explainable AI, or regulatory frameworks (e.g., FDA, CE) is advantageous.
• Knowledge of cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) is a bonus.
• Must be able to commit for at least 8 months.

InternSG