Machine Learning Engineer (Computer Vision)

As the founding Machine Learning Engineer, you will lead the development of the core algorithms powering Moonlight’s AI platform. This high-impact role drives execution of the RD 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