苹果Software Engineering Intern - AI Tools for Hardware Engineering PM
任职要求
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). • Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics.
工作职责
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.
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.
As an intern, you will: - Design and prototype AI-driven tools that support hardware engineers in data analysis, test automation, and debugging workflows. - Implement backend services in Python and frontend interfaces in TypeScript (React/Next.js). - Integrate databases (SQL, vector databases) for data storage, search, and retrieval. - Explore AI/ML workflows (embeddings, retrieval, summarization, code assistance). - Collaborate with hardware and software engineers to translate requirements into working tools. - Write clear documentation, tests, and deployment scripts.
As an intern, you will: - Design and prototype AI-driven tools that support hardware engineers in data analysis, test automation, and debugging workflows. - Implement backend services in Python and frontend interfaces in TypeScript (React/Next.js). - Integrate databases (SQL, vector databases) for data storage, search, and retrieval. - Explore AI/ML workflows (embeddings, retrieval, summarization, code assistance). - Collaborate with hardware and software engineers to translate requirements into working tools. - Write clear documentation, tests, and deployment scripts.
As an intern, you will: Design and prototype AI-driven tools that support hardware engineers in data analysis, test automation, and debugging workflows. Implement backend services in Python and frontend interfaces in TypeScript (React/Next.js). Integrate databases (SQL, vector databases) for data storage, search, and retrieval. Explore AI/ML workflows (embeddings, retrieval, summarization, code assistance). Collaborate with hardware and software engineers to translate requirements into working tools. Write clear documentation, tests, and deployment scripts.