Internship - Wearable Software Engineering (m/f/d)
发布于 大约 2 个月前实习/见习
AI 估算 · 3k–4k
Internship in Switzerland; typical monthly stipend for engineering interns ranges CHF 3000-4000.
职位详情
关于这个职位
This internship focuses on porting AI models to smartwatches (Wear OS and watchOS) and evaluating their performance and battery impact. You will work with provided models, conduct experiments, and deliver practical guidelines for edge deployment.
最低要求
Must-Haves:
工作职责
Port existing server-side AI models to Wear OS and watchOS.
优先资格
Nice-to-haves:
AI 洞察
优缺点分析
优点
- Work with cutting-edge edge AI technology on wearables.
- Gain experience with model conversion and optimization.
- Internship at a global healthcare and science company (Merck).
- Hands-on experimentation and clear deliverables.
- Limited duration (3-6 months) may require quick ramp-up.
- Working with constrained devices and battery trade-offs can be tricky.
- No new model development
- focus on porting and measurement.
- Engineering students interested in edge AI, mobile development, and hands-on experimentation with wearables.
缺点 / 挑战
暂无明显挑战项
角色解读
- Gain hands-on experience in edge AI and wearable technology.
- Develop skills in model optimization and deployment on constrained devices.
- Potential to pursue a career in embedded AI, mobile engineering, or IoT.
- Port existing server-side AI models to smartwatches (Wear OS and watchOS).
- Design and run experiments to measure prediction performance and battery impact.
- Analyze trade-offs and deliver practical guidelines for edge deployment.
- Basic mobile development (Android/Wear OS or iOS/watchOS).
- Familiarity with on-device inference frameworks (TFLite, Core ML, ONNX).
- Analytical mindset for benchmarking and interpreting results.
- Clean coding and documentation skills.
申请策略
- Customize your CV to emphasize edge AI and mobile experience.
- Demonstrate curiosity about wearable technology and its challenges.
- Highlight any mobile development projects (Android/Wear OS or iOS/watchOS).
- Show experience with TensorFlow Lite, Core ML, or ONNX conversion.
- Include benchmarking or parameter sweep projects.
- Emphasize analytical skills and attention to detail.
- Familiarize yourself with Wear OS and watchOS development environments.
- Practice converting models using TFLite Converter or Core ML Tools.
面试指南
- Use STAR method: Situation, Task, Action, Result for experience-based questions.
- For technical how-to questions, outline clear steps and trade-offs.
- Show analytical thinking by comparing alternatives and justifying choices.
- What experience do you have with mobile development on wearables?
- How would you measure battery impact of an AI model on a smartwatch?
- Explain the steps to convert a TensorFlow model to TensorFlow Lite.
- Describe a project where you had to optimize performance on a constrained device.
- How do you ensure reproducibility in benchmarking experiments?
职位点评
Short-term internship with strong learning potential in edge AI, modest compensation, and on-site work.
从学习成长、工作节奏、岗位方向和实习待遇综合评估，方便比较实习机会。
薪资福利
Internship stipend is modest and typical for the region; no full-time benefits. Compensation is not a core strength.
成长发展
Strong development opportunity: edge AI, model optimization, and wearable tech. Skills gained are highly relevant for future careers.
工作生活
On-site work in Switzerland; typical office hours. No mention of flexibility or remote work.
使命价值
Work in healthcare technology can be meaningful, but the role is technical and focused on feasibility studies; direct social impact is indirect.