默克药厂
Internship - Wearable Software Engineering (m/f/d)
Internship - Wearable Software Engineering (m/f/d)
发布于 大约 15 小时前实习/见习
Eysins, Vaud, Switzerland
无经验要求
实习生
仅现场办公
学历未注明
实习与临时职位
Core Ml
Edge Ai
Onnx
Tensorflow Lite
Watchos
Wear Os
AI 估算 · 23k–30k
Swiss internship pay is high; typical range 3000-4000 CHF/month, converted to RMB.
职位详情
关于这个职位
This internship involves porting existing AI models to smartwatches (Wear OS and watchOS) and measuring performance and battery impact. You will design experiments, run benchmarks, and deliver guidelines for edge deployment. It's a hands-on role focusing on software engineering, rigorous testing, and optimization for wearable devices.
最低要求
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.
工作职责
Your role:
Port existing server-side AI models to smartwatches (Wear OS and watchOS).
Design and run experiments to measure prediction performance and battery impact under different usage patterns.
Deliver practical guidelines to correctly port the model into an edge device.
优先资格
Nice-to-haves:
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.
AI 洞察
优缺点分析
优点
- Work with cutting-edge edge AI technology on popular wearable platforms.
- Valuable hands-on experience in a global healthcare and technology company.
- Opportunity to work in a diverse, international environment in Switzerland.
- Internship is short (3-6 months), limiting depth of projects.
- Requires self-motivation and ability to work independently on experimental tasks.
- May need to quickly ramp up on wearables and inference frameworks.
- This internship is ideal for students passionate about wearable technology and edge AI, who enjoy experimental work and have a foundation in mobile development.
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, a growing field.
- Opportunity to develop expertise in model optimization and on-device deployment.
- Potential to transition into full-time roles in mobile engineering or AI engineering.
- Port server-side AI models to smartwatches (Wear OS and watchOS).
- Design and run experiments to evaluate prediction performance and battery consumption.
- Analyze trade-offs and deliver clear guidelines for edge deployment.
- Basic mobile development skills (Android/Wear OS or iOS/watchOS).
- Familiarity with on-device inference frameworks like TensorFlow Lite or Core ML.
- Strong analytical and experimental design skills for benchmarking.
- Ability to write clean, testable code and document findings.
申请策略
- Tailor your cover letter to express interest in edge AI and wearable technology.
- Highlight any prior experience with sensor data or streaming workloads.
- Highlight any mobile development projects (Android/iOS/Wear OS).
- Emphasize experience with TensorFlow Lite, Core ML, or similar edge frameworks.
- Showcase projects involving benchmarking, optimization, or deploying models on constrained devices.
- Demonstrate analytical skills through data analysis or experimental design in coursework or projects.
- Familiarize yourself with Wear OS and watchOS development basics.
- Practice converting models using TensorFlow Lite or Core ML and testing on simulators.
面试指南
- Use the STAR method for behavioral questions: Situation, Task, Action, Result.
- For technical questions, break down the problem into steps: input, processing, output, and constraints.
- Demonstrate analytical thinking by discussing trade-offs and how you would measure them.
- How would you approach porting a model from server to a smartwatch?
- What factors affect battery consumption during on-device inference?
- Describe a time you had to compare different configurations and make a recommendation.
- Explain the trade-off between model accuracy and latency on edge devices.
- What experience do you have with TensorFlow Lite or Core ML?
职位点评
75
综合评分
Short-term internship in Switzerland focusing on edge AI for wearables, with strong technical learning and moderate pay.
更适合这类人
Best suited for students who prioritize skill growth and cutting-edge technology over compensation or lifestyle flexibility.
表现最好
成长发展
相对薄弱
使命价值
薪资福利70
成长发展90
工作生活75
使命价值65
薪资福利
70中等
The internship offers a competitive salary for Switzerland, but the short duration and lack of extensive benefits (beyond standard) keep the score moderate.
薪资信号未披露（AI估算：22K-30K/月）
成长发展
90较高
Strong focus on cutting-edge edge AI technology, hands-on experimentation, and clear growth opportunities in a desirable field.
技术前沿前沿/新兴技术
技术栈Edge AI、TensorFlow Lite、Core ML、ONNX、Wear OS、watchOS
成长机会personal development、career advancement
业务类型ambiguous
工作生活
75中等
Switzerland offers excellent work-life balance, and the role is on-site but with typical working hours. No overtime pressure is indicated.
工作模式仅现场办公
办公地点未明确
加班情况未提及（无法判断）
使命价值
65中等
The role contributes to healthcare technology, which has positive social impact, but as a testing intern, the direct impact is limited.
行业发展稳定成熟行业
社会影响正向社会影响力较高
使命信号enrich people's lives、help create, improve and prolong lives
创新程度积极采用新技术
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