Swatch Group Edge Machine Learning Engineer

Marin-Epagnier • Switzerland

Friday, January 24, 2025

The Swatch Group stands as the preeminent watch manufacturer globally, renowned for its diverse range of timepiece brands that span all price segments. The Group's strength lies in its vertical integration, enabling it to manage every critical stage of production internally, from raw materials to the final mechanical and electronic watches. As the central research laboratory of the Group, the mission is to develop technically innovative horological products, subsystems, and components, alongside the manufacturing technologies essential for their production. This is achieved through internal R&D activities across various domains and collaborations with universities and external research institutes.

1. Formulate problem-solving strategies based on client requirements.
2. Acquire and process data to build a database for the learning phase.
3. Develop and optimize neural network models.
4. Validate the performance of developed solutions.
5. Deploy developed solutions within integrated circuits.
6. Document developed solutions.
7. Support the transfer of developed solutions to Swatch Group production companies.

1. Engineering degree or equivalent in Electronics, Microtechnology, Computer Science, or Data Science.
2. Experience in AI / Machine Learning.
3. In-depth knowledge of AI / ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn.
4. Proficiency in C/C++ and Python.
5. Experience in Edge ML and TinyML is advantageous.

1. Advanced data analysis knowledge.
2. Strong understanding of signal processing and physical phenomena modeling.
3. Good understanding of MCU architecture electronic systems using sensors (accelerometer, IMU, etc.).
4. Ability to work in a multidisciplinary team environment.
5. Experience in leading multidisciplinary projects is a plus.

Experience in AI / Machine Learning with a focus on Edge ML and TinyML is preferred.

Engineering degree or equivalent in Electronics, Microtechnology, Computer Science, or Data Science.

The role offers an opportunity to work in a leading global watch manufacturing group with exposure to cutting-edge technology and innovation.

The Swatch Group fosters a culture of innovation and technical excellence, encouraging collaboration across multidisciplinary teams. The environment is dynamic, with a focus on developing pioneering horological technologies.