Internship - Wearable Software Engineering (m/f/d)
Merck HealthcareSwitzerland1 day ago
Full-timeEngineering, Information Technology
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Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.
Start date: As soon as possible
Duration: 3-6 months
Location: Eysins, Switzerland
Role Level: Internship
Your Role
The Connected Device Department is seeking an engineering student to help us evaluate the feasibility of running AI models on smartwatches (Wear OS and watchOS). You’ll port existing server-side models to edge devices, design and run experiments to measure prediction performance and battery impact under different usage patterns and deliver practical guidelines to correctly port the model into an edge device. You won’t build new models; our team will provide candidate models and parameters to vary. The main focus is software porting, rigorous measurement, and clear recommendations.
Your Profile
Must-Haves
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.
Start date: As soon as possible
Duration: 3-6 months
Location: Eysins, Switzerland
Role Level: Internship
Your Role
The Connected Device Department is seeking an engineering student to help us evaluate the feasibility of running AI models on smartwatches (Wear OS and watchOS). You’ll port existing server-side models to edge devices, design and run experiments to measure prediction performance and battery impact under different usage patterns and deliver practical guidelines to correctly port the model into an edge device. You won’t build new models; our team will provide candidate models and parameters to vary. The main focus is software porting, rigorous measurement, and clear recommendations.
Your Profile
Must-Haves
- You are currently studying Software Engineering, Computer Science, Electrical/Computer Engineering, or a related field.
- Basic familiarity with mobile development (Android/Wear OS or iOS/watchOS).
- Comfortable writing clean, testable code and documenting findings clearly.
- Strong analytical mindset and attention to detail; able to compare configurations and interpret trade-offs.
- Interest in edge AI and on-device inference.
- Experience with on-device inference frameworks or model conversion (e.g., TensorFlow Lite, Core ML, ONNX).
- Understanding of optimization techniques (e.g., quantization,).
- Exposure to sensor data pipelines or streaming workloads on mobile/wearables.
- Prior projects that involve benchmarking, parameter sweeps, or porting models to constrained devices.
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
Key Skills
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