Machine Learning Engineer

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