AIML- Machine Learning and NLP Internship, MLR

Summary Posted: Oct 25, 2023 Weekly Hours: 40 Role Number: 200510676 Play a part in building the next revolution of machine learning technology. We're looking for passionate researchers in the final years of their post-graduate studies to work on ambitious curiosity driven research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues. Key Qualifications Key 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. Strong mathematical skills in linear algebra and statistics. Strong coding skills. Ability to formulate a research problem, design, experiment, implement and communicate solutions. Ability to work in a diverse collaborative environment. In the final years of a PhD programme. Description Description You are towards your final years of a PhD programme in Machine Learning/NLP/Speech, and have already published some of your results in a main conference in the field. On a daily basis, you will work both independently and in collaboration with your manager on a predefined research project. You’ll also have the opportunity to collaborate further with MLR colleagues on the project and questions arising from the project. Ultimately, you will work towards publishing new findings arising from the project. Apple benefits programs vary by country and are subject to eligibility requirements. 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, colour, 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 Final year(s) of PhD in NLP or ML. MSc, BSc in Computer Science or Mathematics, with a specialisation in ML, NLP, Speech or related. Additional Requirements Additional Requirements