Machine Learning Engineer

Machine Learning Engineer Employment Type: Full-time (40 hours/week) Duration: Long-term / Permanent Language Requirements: English (minimum B2 level), German is a plus Interview Process: 2–3 interview rounds About the Role We are seeking an exceptional Machine Learning Engineer to join an innovative AI-driven healthcare company as one of the founding members of the machine learning team. In this highly impactful role, you will lead the development of core AI algorithms that power next-generation diagnostic solutions. You will work at the intersection of computer vision, deep learning, biomedical image analysis, and product development, helping transform large-scale pathology and imaging data into clinically meaningful insights. This position offers significant ownership, technical freedom, and the opportunity to shape both the company's AI strategy and product roadmap. Responsibilities Develop, validate, and document advanced deep learning algorithms for extracting molecular and diagnostic information from whole slide images and other medical imaging data Lead research and experimentation efforts by defining hypotheses, designing experiments, evaluating results, and iterating on novel approaches Design and develop innovative computer vision and machine learning models to solve real-world healthcare challenges Collaborate closely with clinical, product, engineering, and business teams to translate requirements into scalable AI solutions Work alongside data engineering teams to build robust and compliant data pipelines for processing, traceability, and reproducibility Contribute to the development and scaling of the company's AI platform, including model integration, deployment, optimization, and monitoring Develop explainability and interpretability methods to increase transparency, clinical trust, and model validation Support the generation of clinical validation evidence required for regulatory approvals and market adoption Continuously improve model performance, reliability, and scalability in production environments Required Qualifications PhD in Computer Vision, Biomedical Image Analysis, Machine Learning, Artificial Intelligence, or a related technical field 4+ years of industry experience in Computer Vision or Machine Learning Strong programming skills in Python Hands-on experience with at least one major deep learning framework such as PyTorch or TensorFlow Proven expertise in: Image segmentation Object detection Feature extraction from large-scale and high-resolution image datasets (e.g., whole slide images) Experience designing and implementing novel deep learning architectures applied to real-world datasets Minimum 2 years of experience working with: Cloud infrastructure (AWS, GCP, or Azure) Data pipelines Deployment of machine learning models into production environments Strong understanding of software engineering best practices, version control, and collaborative Git workflows Passion for clean code, documentation, maintainability, and reproducible research Excellent communication skills in English and ability to collaborate across multidisciplinary teams Ability to work independently in a fast-paced, innovative environment Valid work authorization within the European Union or Switzerland Preferred Qualifications Experience in digital pathology, histopathology, or medical imaging Academic or professional background in biology, pathology, or life sciences Understanding of cellular morphology and biological image analysis Familiarity with regulated healthcare environments and medical device development Experience with regulatory frameworks such as FDA, CE Marking, IVDR, or similar standards Knowledge of Explainable AI (XAI) techniques and model interpretability methods Previous experience working with clinical datasets and healthcare AI products ⚠️ Important: Candidates who attach a CV to their application will be prioritized.