苹果Machine Learning and AI Safety Research Intern

工作描述

Qualifications
Minimum Qualifications
Currently enrolled in an MS or Ph.D. program in Computer Science, Electrical Engineering, or a related quantitative field.
Hands-on experience with LLM training frameworks (e.g., DeepSpeed) and core machine learning ecosystems (e.g., PyTorch, Hugging Face).
Experience with LLM inference frameworks (e.g., vLLM) and programmatic LLM API calling, including client SDKs and batch evaluation techniques.
Proven experience in designing and building LLM evaluation pipelines, custom datasets, and comprehensive benchmark suites.
Preference for a 5 to 6-month internship duration between Oct 1, 2026, and Sep 30, 2027. 

Preferred Qualifications
Strong research experience in AI safety, model alignment, or red-teaming, ideally demonstrated by a track record of publications (or papers currently under …