Senior/Lead Research Engineer (MIV/Optics and Imaging Systems Group), SIMTech - Toa Payoh

Job Description:

The Optics and Imaging Systems (OIS) Group is a one-stop provider of automated optical and non-optical inspection technologies. The Group carries out collaborative research with academic institutions, co-develops equipment and devices with companies, and provide technical services and training to the manufacturing industry.

• Customised inspection systems for real time detection in production lines
• Advanced imaging-based inspection equipment for quality control in manufacturing
• Bio-imaging, detection and analysis for digital pathology and diagnostic

The key roles & responsibilities include, but are not limited to:

• Design of training methodology and development of AI modules in the following areas,
• Segmentation of target objects in images with strong background noise,
• Detection and categorization of multi small objects in large image,
• Recognition of irregular complicated pattern/structure
• Design of training strategies for high accuracy detection with small sample size including research for auto selection of valid training images within a larger image population
• Evaluation of commercial and open-source tools for AI, deep learning and related technologies
• Assist in training courses in AI-driven image processing and analysis with AI technology

Job Requirements:

• Bachelor's degree in Artificial Intelligence, Software Engineering, or relevant computing engineering
• Machine Learning and Deep Learning Expertise:
• Proficiency in frameworks like TensorFlow, PyTorch, or Keras.
• Experience with convolutional neural networks (CNNs), object detection models (e.g., YOLO, Faster R-CNN), and segmentation models (e.g., U-Net, Mask R-CNN).
• Familiarity with transfer learning and model optimization techniques
• Ability to work with large datasets, including data augmentation and annotation.
• Experience with tools like Labelbox, CVAT, or SuperAnnotate for labeling.
• Knowledge of deploying models in production environments (e.g., Docker, Kubernetes, TensorFlow Serving).
• Familiarity with edge deployment (e.g., NVIDIA Jetson, TensorRT) for industrial applications.
• Computer Vision Knowledge:
• Strong understanding of image processing techniques (e.g., filtering, edge detection, feature extraction).
• Experience with OpenCV, PIL, or similar libraries.
• Knowledge of 3D vision and point cloud processing.
• Programming Skills:
• Proficiency in Python
• Experience with C++ for performance-critical applications
• Familiarity with software development best practices (version control, testing, debugging)
• Good verbal and written communication skills and strong interpersonal skills in engaging peers and management.
• Self-motivation, ability to adapt to change and use initiative, proactive team player mindset are highly desirable traits