As an intern, you will:
- Perform definition and development of LLM based tool based on the input from Apple Hardware Engineering EPx (EPM/EPS) organization and transfer those into working tools.
- Design and prototype AI-powered tools that enable Hardware EPx(EPM/EPS) to perform more effective data analysis.
- Implement backend service and front-end interface. Certain familiarity with the required language is a must (Backend - Python; Front-end - React/Next.js).
- Explore EPx faced business and convert those to AI/ML workflows.
Minimum Qualifications
Pursuing a BS, MS in Computer Science or Data Science, Electrical Engineering, or other relevant areas.
Available to join internship for 6-12 months full-time.
Knowledge of AI/ML and LLM.
Basic knowledge of front-end technologies (e.g., HTML, CSS, JavaScript) and back-end development principles.
Basic data processing and analysis skills, with an ability to work with structured/unstructured data.
Experience in AI LLM API integration, and understanding of prompt engineering are required.
Preferred Qualifications
Familiarity with web development frameworks and tools is a plus. (e.g.,Kubenet)
Proficiency in Python programming (data manipulation libraries like Pandas/ =Numpy are preferred).
Strong problem-solving mindset, eagerness to learn, and ability to work in a fast-paced environment.
Excellent communication skills, both verbally and written (In both Chinese and English).