Rolex Computer Vision Intern
- Location
- Geneva Geneva Switzerland
- Employment
- Internship
- Seniority
- Intern
- Department
- IT & Technology Systems
- Industry
- Fine Watches & Horology
- Posted
- Sep 29, 2026
About Rolex
Rolex is a benchmark of Swiss watchmaking excellence, renowned for precision, enduring design and uncompromising craftsmanship. As an employer, the Maison offers a culture shaped by mastery, discretion and long-term commitment, where engineers, artisans, designers and corporate specialists contribute to products built to transcend generations. Its Geneva-based heritage is matched by a global outlook, rigorous standards and significant investment in training, innovation and responsible excellence. Employees join an institution that values technical depth, collaborative discipline and meticulous attention to detail, offering the opportunity to advance within one of the world’s most respected luxury brands.
Rolex seeks a Computer Vision Intern in Geneva to develop image processing and deep learning solutions. Master's student in Data Science or equivalent required.
Role & Responsibilities
- Participate in the acquisition, qualification, and annotation of images for training datasets
- Measure performance of developed Computer Vision solutions and document findings
- Study and develop image realignment methods
- Improve segmentation methodologies employed in visual recognition pipelines
- Contribute to the implementation of a unified data preparation and validation pipeline aligned with state-of-the-art Computer Vision practices
Qualifications
- Currently enrolled in a Master's programme in Data Science, Computer Science, Robotics, or equivalent discipline
- Strong foundational knowledge in image processing and Computer Vision, including detection, segmentation, and classification methodologies
- Proficiency in Python and data science libraries; prior experience with PyTorch or TensorFlow highly desirable
- Understanding of data preparation, model training, and validation workflows
- Ability to define performance metrics, conduct experiments, and analyze results rigorously
- Scientific curiosity and interest in industrial applications of Computer Vision
- Rigour, autonomy, and proactive problem-solving mindset
- Strong interpersonal skills and collaborative orientation
Skills
Experience
Currently in the final year of a Master's programme in a related discipline, with foundational knowledge of Computer Vision and deep learning frameworks.
Education
Master's degree in progress in Data Science, Computer Science, Robotics, or equivalent field.
Workplace
This position is based in Geneva, Geneva, Switzerland.
Culture
Rolex fosters a workplace culture defined by precision, excellence, and a deep respect for craftsmanship. As an employer, the company offers a disciplined yet collaborative environment where long-term thinking, continuous improvement, and attention to detail guide every aspect of work.
About Cerulean
Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.
Frequently Asked Questions
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Rolex, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Data Science Intern», «Computer Vision Development Intern», «Image Processing Intern», «Machine Learning Intern», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.