Primary job responsibilities:

• Investigate applying new AI research to areas such as 3D medical image analysis, 3D reconstruction, AI treatment planning and other topics
• Work independently on AI tasks
• Contributes to the development of machine learning models
• Gather and prepare data for projects and clinical studies
• Conduct literature reviews and implement algorithms and frameworks
• Test and validate models
• Communicate progress and findings within the team
• Contribute to technical discussions
• Clearly communicates research findings and ideas to peers, both verbally and in writing
• Follow the current state-of-the-art technology (literature surveys, or attends conferences)

Education:

• Master's degree or PhD in Computer Science, Biomedical Engineering, or a relevant degree

Years and Type of Experience:

• Ideally 5-7 years of experience with a Master’s degree, or 1-4 years of experience with a PhD in applying AI and software engineering to real-world problems
• Experience with independent leadership of complex technical projects across teams
• Proficiency in programming, image data preparation, machine learning concepts, AI model design/architecture, AI training pipeline development, data analysis and statistics
• Experience in 2D and 3D medical image analysis (e.g. DVT, CT, MRI or ultrasound)
• Experience in AI-based software testing and optimization
• Experience in modern AI-assisted development, including tools like GitHub Copilot, Claude Code, and multi-agent coding workflows
• Experience with GCP-/AWS-based AI training and deployment is a plus
• Experience in AI development for point clouds, mesh and surface generation/analysis is a plus
• Experience in medical device development is a plus

Key Skills, Knowledge & Capabilities:

• Excellent written, verbal presentation, and communication skills
• Experience working in a global team in various time zones
• Experience of working in cloud infrastructure
• Experience in ML/AI model development libraries: TensorFlow, PyTorch, scikit-learn, etc.