(Mid-Junior) Data Scientist - AI Medical Imaging (w/m/d)

deepeye Medical GmbH; München; Hybrid; Vertraulich; Vollzeit

Zusammenfassung

A medical technology startup in Munich is seeking an experienced AI and Machine Learning Engineer to develop software aimed at preventing vision loss. Responsibilities include optimizing algorithms for medical imaging and collaborating with cross-functional teams. The role requires strong experience in machine learning, computer vision, and proficiency in Python along with knowledge of deep learning frameworks. The company offers a vibrant culture, flexible hours, and a chance to make a direct impact on patients' lives.

Leistungen

Flexible working hours

Remote work options

Competitive payment

Vibrant startup culture

Qualifikationen

• 2+ years experience in machine learning and deep learning, with knowledge of CNNs and UNet architectures.
• 4+ years experience in computer vision and image analysis with 2D/3D processing.
• Experience in cross-validation and regularization techniques.

Aufgaben

• Develop and optimize ML algorithms for medical imaging applications.
• Collaborate with software engineers and clinicians to integrate AI solutions.
• Analyze datasets ensuring quality and integrity for AI model training.

Kenntnisse

Machine learning algorithms

Computer vision

Python programming

Deep learning frameworks (PyTorch, TensorFlow)

Ausbildung

Degree in Data Science, Computer Science, Bioengineering, or related field

Tools

PostgreSQL

Jobbeschreibung

Overview

Our mission is to prevent vision loss and ultimately blindness by developing AI software that assists eye doctors in therapy planning for their patients. We use computer vision deep learning models(AI) trained on thousands of cases and millions of images to identify and predict disease progression. The decision support algorithm targets popular eye diseases like Age-related Macular Degeneration (AMD, 7.5mio affected in Germany alone).

Responsibilities

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

Requirements

• 2+ years of professional industry experience applied in machine learning and deep learning, including a working knowledge of CNNs, UNet architectures, and standard ML techniques such as cross-validation and regularization.
• 4+ years of applied experience in computer vision and image analysis, including 2D/3D image processing, segmentation, and spatial normalization.
• Strong programming proficiency 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-haves

• Experience working in interdisciplinary teams of doctors, data scientists, data and software engineers
• Experience in analyzing and evaluating data using relational databases like PostgreSQL.
• Interest in expanding AI clinical targets to new areas such as Diabetic Macular Edema (DME) or Retinal Vein Occlusion (RVO).
• Working-level English (C1 or higher).

Benefits

What we offer

• 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.

Reach out to us with information about your availability, salary expectations and a link to your conclusive profile (GitHub, LinkedIn, CV). Please share with us why you want to help us in preventing blindness with AI.