AIML-Intern in Machine Learning Research, DMLI

Summary Posted: Dec 18, 2023 Weekly Hours: 35 Role Number: 200515739 The Machine Learning Research team is looking for a passionate PhD student to investigate the next generation of Machine Learning techniques with particular attention to representation learning theory and application. As a member of the Machine Learning Research team, you will work on some of the most challenging scientific questions, collaborate with world-class machine learning researchers, push forward innovative research agendas and publish ground-breaking research in international conferences. Key Qualifications Key Qualifications Demonstrated research expertise in machine learning, with a passion for the topics of representation learning, equivariance, generalization, robustness or compositionality. Strong publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, FAccT). Good programming skills in Python. Hands-on experience working with deep learning toolkits such as PyTorch or Tensorflow. Strong mathematical skills in linear algebra and statistics. Ability to formulate a research problem, design, experiment and implement solutions. Ability to work in a collaborative environment. Description Description Are you passionate about advancing the state-of-the-art in ML and pursuing great innovation? You will help to identify gaps in the research field, define the internship research agenda, and develop innovative ML methods for challenging problems that will affect the scientific research community, future Apple products, and society. You will receive technical mentorship and guidance, while providing your enthusiasm and skills in order to research innovative solutions and publish your results in international conferences. You have the ability to work both independently and collaboratively together with other researchers and product teams. You will have the chance to work in a dynamic team that is able to tackle innovative Machine Learning problems at scale. You will be responsible for delivering ML research aligned with the core values of Apple, ensuring the highest standards of quality, scientific rigor, innovation, and respect for user privacy. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Education & Experience Education & Experience Pursuing a PhD in Computer Science, or related technical field. Additional Requirements Additional Requirements