About the Role
An exciting opportunity to work on cutting-edge AI technology in the medical field, improving patient care through advanced deep learning solutions. Contribute to the design and development of AI models for detecting and describing brain lesions, such as multiple sclerosis and metastases.
What You’ll Work On
Design, develop, and optimize computer vision and deep learning models.
Develop robust validation pipelines to ensure data accuracy and consistency.
Automate repetitive tasks by building scripts and tools.
Integrate machine learning models into a production environment.
Interact with frontend and backend engineers for AI integration.
Collaborate with medical students, radiologists, and clinicians.
Organize and maintain databases of radiological images.
Support scientific research and publications related to AI-driven neuroradiology.
What You Bring
Experience in computer vision and deep learning, with knowledge of TensorFlow.
Proficiency in Python and C++.
Experience with CI/CD pipelines.
Strong math, problem-solving, and algorithm design skills.
Knowledge of state-of-the-art AI algorithms and principles.
Bonus Points for
Experience with image or semantic segmentation, object detection, and tracking.
Familiarity with 3D medical data processing.
Knowledge of Swift, Objective-C, and the CoreML framework.
Experience in scientific research and AI-related publications.
Who Should Apply
Min. BSc in Computer Science, Computer Vision, Machine Learning, or related field.
Biomedical Engineering candidates with strong coding or AI experience.
Location & Application
Work location: Zürich, Switzerland (on-site).
Duration: 6 months, paid internship.
Join us and be part of an innovative team shaping the future of AI in medical imaging!