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 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
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