Machine Learning Engineer (Computer Vision)

Moonlight Ai GmbH; Basel; Hybrid; CHF 180.000 - 240.000; Vollzeit

Zusammenfassung

Moonlight Ai GmbH in Basel is seeking a founding Machine Learning Engineer to drive core algorithm development for the company’s AI platform. You will lead end-to-end model development, validation, and deployment, collaborating across clinical, product, and engineering teams.

The role emphasizes building scalable pipelines, model explainability, and regulatory evidence for clinical use, with strong emphasis on independent, remote work in a fast-paced research environment.

Qualifikationen

• 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: segmentation, object detection, feature extraction on large-scale/high-res images.
• 2+ years of experience with cloud infrastructure, data pipelines, and production deployment.
• Experience collaborating in team-based codebases with strong Git knowledge.
• Excellent English communication; able to work cross-functionally.
• Comfortable working independently in a remote, fast-paced environment.
• Work permit valid in Switzerland; willingness to travel if needed.

Aufgaben

• Develop, validate, and document deep learning algorithms to extract molecular results from whole slide images.
• Lead experiments to build novel algorithms and iterate while protecting the critical path.
• Collaborate with clinical, product, and business teams to translate requirements into model specs.
• Partner with data engineering to build scalable data pipelines and ensure traceability and compliance.
• Contribute to Moonlight’s AI platform with model integration, performance optimization, and deployment workflows.
• Develop explainability methods to support clinical trust and validation.
• Generate regulatory validation evidence to support submissions and go-to-market efforts.

Kenntnisse

Python programming

Deep learning frameworks

English communication

Independent work

Remote work experience

Team collaboration

Ausbildung

PhD in Computer Vision / Biomedical Image Analysis

Tools

Git workflows

PyTorch

TensorFlow

Jobbeschreibung

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