Machine Learning Engineer Intern (Video Understanding)

l mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.
","responsibilities":"You will work on some of the most ambitious technical problems, develop new ML solutions that will impact future Apple products, and collaborate with the best product teams to integrate your ideas into products.
In addition, you will engage with the academic community by publishing your innovative research, and speaking at conferences and events.

Preferred Qualifications
Industry experiences with multi-modal foundation model and frameworks
Knowledge and understanding of generative AI, multi-modal large language model, video caption
Solid understanding of state-of-the-arts in Video Understanding and familiar with the challenges of developing algorithms that run efficiently on resource constrained platforms

Minimum Qualifications
Demonstrated expertise in machine learning research
Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc)
Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch
Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams
PhD, or equivalent practical experience, in Computer Science, or related technical field

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.