AI Developer Intern - LLM

Beschreibung:

Apple is a place where extraordinary people gather to do their best work. Just be ready to dream big. The people here at Apple don't just build products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. With the growth of Apple, we have created new opportunities for individuals to work on the most exciting new products introduced by Apple. Operation Test Engineering team is seeking an individual that meet the following criteria to join our team. This internship position will work closely with various operations & engineering team to create and develop innovative solutions based on Large Language Model (LLM) capability to improve production quality and efficiency.
Have engineering knowledge on manufacturing operation issue data Design, development and performance evaluation of automatic manufacturing operation issue report generation system Skilled in methodology innovation in LLM-based applications
MS or PhD student in Computer Science, Mathematics, Physics, or Electronics/Electrical Engineering, with solid knowledge in large language model (LLM) and related application techniques (e.g., context engineering / RAG / Agent/ etc.) Experienced in python programming and LLM-augmented application / solution development. Good communication skills with proficient spoken and written in both English and Chinese.
Excellent analytical skills, capability to solve problems in innovative and flexible ways. Aspiration and experience in quickly picking up domain knowledge, exploring, designing and implementing LLM solutions to solve realistic problems. Proven experience in Python programming and system integration. Familiar with popular LLM application development framework like Lang Chain, LIamaIndex, etc. Excellent skills in demonstration and fast prototyping based on iterative feedback of stakeholders