Software Engineering Intern - AI Tools for Hardware Engineering PM

At Apple, we believe our products begin with our people. By hiring a diverse team we drive creative thought. By giving that team everything they need we drive innovation. By hiring incredible engineers we drive precision. And through our collaborative process we create memorable experiences for our customers. These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. Apple is a place where extraordinary people capture to do their best work. Just be ready to dream big. As a crucial function under Apple Hardware Engineering, Engineering Program Management (EPM) and Engineering Project Specialist (EPS) team manage the development of Apple Hardware Products with both strategic and execution-focus. EPx are expected to lead with clarity, influence cross-functional teams and deliver results in a fast-paced, complex environment. To do this effectively, we need solid data process and analysis. The China EPx organization, covering most of the Line-of-Businesses and being the driver for critical Hardware Builds, is proactively looking for a Software Engineering Intern to join the team and help on deliver those amazing AI/ML tools. You will be involved into AI-powered tool definition/development, and perform those as part of the exciting Apple Hardware Engineering Program Planning/Execution. You will work together with a team of highly skilled EPM, EPS and Engineers.

Description

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).