Desired start date: April 2026
Location: Paris, France
We believe the future of the operating room lies in the hands of the empowered surgeon. They are bolstered with complete control, renewed confidence, and technology adaptable to any situation.
Our Maestro System delivers this empowerment, resulting in improved operating room efficiency and surgical care for patients - We are using tomorrow's technology to change surgery today.
Our blended French-American team is passionate about building this future. Together we are pushing the boundaries in a fast-paced yet focused and deliberate environment. We challenge ourselves often and celebrate our achievements. We believe that communication and planning are as important as execution.
🎉 The Role
Your Core Responsibilities
- Contribute to novel computer vision and machine learning algorithms development that meet real-world performance and safety enhancements for the users of the system
- Contribute to organizing large quantities of surgical vision data for algorithm development purposes
- Apply state-of-the-art knowledge in areas of computer vision and machine learning to surgical vision domain
- Develop, deploy, and maintain reproducible ML pipelines, ensuring robust experiment tracking, model versioning, and scalable deployment workflows (MLOps)
- Work closely with cross-functional teams (Software and Clinical) to ensure the engineering integrity and clinical relevance of the project.
- Conduct technical presentations of the project in a cross-functional team environment
How You’ll Fit In
- You will be an integral part of the Moon Surgical team as we develop new features for the next-generation of the Maestro platform. It is very likely that one, or more, of the features that you work on will be used by surgeons to perform a critical procedure on their patients. You will be mentored by our experienced ML engineer as you obtain hands-on experience within a growing medical device start-up.
🧠Qualifications, Skills & Attributes
- Currently enrolled in a Master’s or PhD program in Computer Science, Software Engineering, Data Science, or a related field, in the final or penultimate year.
- Strong proficiency in Python
- Hands-on experience with PyTorch and a solid understanding of model training pipelines.
- Familiarity with cloud platforms (e.g., AWS), experiment tracking, and reproducibility best practices.
- Experience or strong interest in MLOps tools (such as MLflow), CI/CD pipelines, and artifact management.
- Highly rigorous, structured, and automation-oriented, with the ability to synthesize, document, and formalize technical decisions.
- Curious, self-driven, and collaborative within an R&D environment.
Moon Surgical values diverse perspectives and encourages candidates from all backgrounds to apply, even if they do not meet every requirement listed.
🧮 Compensation, Benefits & Other Details
- Full-time, paid internship on-site at our Paris office
- Commute reimbursement
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