The Machine Learning Engineer will lead the development of the core algorithms powering Moonlight’s AI platform. This high-impact role drives execution of the R&D roadmap, sitting at the intersection of computer vision, engineering, and product development.

Responsibilities:

• Develop, validate, and document deep learning algorithms to extract molecular results from whole slide images
• Lead experimentation to build novel algorithms: define hypotheses, execute experiments, and iterate while protecting the critical path
• Collaborate closely with clinical, product, and business functions to translate requirements into model specifications
• Partner with data engineering to build scalable pipelines for data processing, traceability, and compliance
• Contribute to building Moonlight’s AI platform, including model integration, performance optimization, and deployment workflows
• Develop explainability and interpretability methods to support clinical trust and validation
• Generate clinical validation evidence to support regulatory submissions and go-to-market efforts

Requirements:

• PhD in Computer Vision, Biomedical Image Analysis, or a related field
  Fluent in Python and at least one deep learning framework (e.g., PyTorch, TensorFlow)
• 4+ years of industry experience in computer vision:
  • Image segmentation, object detection, and feature extraction on large-scale or high-resolution image data (e.g., whole slide images)
  • Designing and developing at least one novel deep learning architecture applied to real-world data
  • 2+ years of experience working with cloud infrastructure, data pipelines, and deploying models into production-grade systems
• Experience collaborating in team-based codebases, with strong knowledge of version control and Git workflows
• Passion for good documentation, code style, and packaging for collaboration
• Strong communication skills in English and ability to work cross-functionally
• Comfortable working independently in a remote, fast-paced environment
• Work permit valid in Switzerland, with a willingness to travel if needed

Strong Plus: 

• Experience with digital pathology or medical imaging
• Background in biology with an understanding of cell morphology
• Familiarity with regulatory environments (e.g., FDA, CE marking)
• Experience with explainable AI techniques and model interpretability