Computer Vision Research Engineer

Job Description

Job Description We are seeking a highly skilled Computer Vision Research Engineer specializing in medical imaging and diagnostic vision systems to join our innovative team. The ideal candidate will have a proven track record in conducting research, developing algorithms, and implementing cutting-edge computer vision techniques for healthcare and clinical applications. Responsibilities Conduct advanced research to pioneer developments in vision-based medical analysis, including medical image interpretation, enhancement, and real-time processing. Develop and implement robust computer vision algorithms and models tailored for diagnostic imaging platforms and clinical decision support tools. Collaborate closely with interdisciplinary teams to integrate and optimize computer vision solutions into healthcare systems and medical technologies. Analyze and interpret data collected from clinical imaging modalities to improve performance and reliability in real-world scenarios. Stay updated with the latest advancements in computer vision, machine learning, and AI, specifically as they relate to medical imaging innovation. Requirements Master's or Ph.D. degree in Computer Science, Electrical Engineering, or a related field. Strong expertise and demonstrable experience (3–5 years) in computer vision applications in healthcare, such as image-guided detection and diagnostics, automated screening, or AI-assisted interpretation. Proven track record of research publications in reputable conferences or journals related to medical image analysis and intelligent vision systems. Proficiency in programming languages such as Python, C++, and experience with relevant libraries (OpenCV, TensorFlow, PyTorch, etc.). In-depth understanding of computer vision principles, machine learning algorithms, and statistical modeling. Ability to work independently and collaboratively in a fast-paced research environment, especially addressing clinical imaging and diagnostic challenges using AI. Strong problem-solving skills and a keen interest in pushing the boundaries of computer vision technology. Preferred Skills Experience working with clinical imaging devices (e.g., fundus cameras, OCT, MRI, ultrasound, or digital pathology systems). Familiarity with 3D computer vision techniques and their applications in medical image reconstruction. Prior experience in designing and conducting validation studies for healthcare vision algorithms in clinical or experimental settings. Show more Show less