This position requires highly-motivated individuals who want to join us working at the intersection of the fast-moving field of large-scale models and shipping Apple’s hardware projects. You will be responsible for developing, implementing, evaluating, and improving computer vision algorithms in complex and diverse scenarios. Potential internship areas Multi-modal foundation models Model personalization Neural simulation techniques Power-efficient deep learning Currently pursuing an MS or PhD degree in Computer Science, or a related field. PhD Students are preferred for research-focused internships. At the end of the internship, you must return to school to continue your education or the internship must be the last requirement for you to graduate. Strong understanding of generative models and/or multi-modal foundation models. Deep understanding in machine learning / deep learning fundamentals Fluency in Python and Machine Learning Frameworks (i.e. PyTorch) is required. Demonstrable problem solving and analytical thinking abilities. Excellent communication and collaboration skills. Hands-on experience with vision foundation models. Strong software engineering skills and familiarity with developing code in larger codebases Publication record at top conferences such as CVPR, ECCV, ICCV, NeurIPS or SIGGRAPH is a plus. Availability for 6 months minimum is preferred. Industry experience is a plus.