deepeye Medical GmbH is hiring a (Junior) Data Scientist/Engineer - AI Medical Imaging to develop software that helps prevent vision loss and blindness. You will build computer vision deep learning models trained on thousands of cases to assist eye doctors in therapy planning for conditions like Age-related Macular Degeneration.

What You'll Do

Develop and optimize machine learning algorithms for medical imaging applications to enhance ophthalmological diagnostics.
Collaborate with cross-functional teams, including software engineers and clinicians, to integrate AI solutions into existing medical workflows.
Analyze large datasets from various sources, ensuring data quality, to train and validate AI models for detecting eye-related conditions.
Stay updated with advancements in AI and medical imaging technologies, applying innovative approaches to improve patient outcomes.

What We're Looking For

2+ years of applied experience in computer vision and medical image analysis, including 2D/3D image processing, segmentation, and spatial normalization.
First professional experience in industry applied to machine learning and deep learning, including a working knowledge of CNNs and UNet architectures.
Strong programming skills in Python and experience with common machine learning frameworks such as PyTorch or TensorFlow.
A degree in Data Science, Computer Science, Bioengineering, (Medical) Physics, or a similar quantitative field.

Nice to Have

Experience in analyzing and evaluating data using relational databases like PostgreSQL.
Experience working in interdisciplinary teams of doctors, data scientists, data and software engineers.
Working-level English (C1 or higher).

Technical Stack

Python, PyTorch, TensorFlow, PostgreSQL

Team & Environment

You will join cross-functional teams including software engineers and clinicians in a company of 11-50 employees.

Benefits & Compensation

Direct impact on improving the quality of life for patients by preventing blindness.
High personal responsibility for your projects and the opportunity for fast professional growth.
Flexible working hours and remote work options.
Competitive payment and a vibrant startup culture within a great, international team.
A central office located in Munich’s startup hub.