Machine Learning Engineer Intern (Video Understanding)

Job Description:

If you are the kind of people who are passionate on pursuing excellence, embracing challenges, enjoying work with others, learning new things along the way, Apple is the right place for you. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work.
You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conference and journal venues, and make sure that your research results are of high quality and reproducible. You will propose your own research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.
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
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