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Senior Deep Learning Engineer
Not specifiedFull-timeAI & Machine LearningMedical Devices
Join an innovative HealthTech company developing AI-powered ultrasound technology for real-time clinical decision-making. Lead core algorithm research and development from clinical problem formulation through production integration in a regulated medical device.
Responsibilities
- Architect, research, and implement deep learning algorithms for 2D and 3D ultrasound image reconstruction, enhancement, and volumetric analysis.
- Lead algorithm initiatives from clinical problem formulation and mathematical modeling through network training, validation, and production integration.
- Develop computer vision architectures for low-latency, real-time medical imaging pipelines.
- Work with clinical specialists, systems engineers, and software teams to translate clinical needs into precise algorithmic solutions.
Requirements
- M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, Applied Mathematics, or a related quantitative discipline.
- At least 5 years of hands-on algorithm development experience, including a proven deep learning track record.
- Expertise in 3D image processing, volumetric analysis, or 3D reconstruction.
- Practical experience with modern deep learning frameworks such as PyTorch or TensorFlow.
- Strong foundations in signal processing, linear algebra, and computer vision.
Nice to have
- Hands-on C++ programming experience.
- Experience with medical imaging modalities such as ultrasound, CT, or MRI.