Internship - Machine Learning Research (recurrent models | generative models | interpretability)

Play a part in the next revolution of machine learning research. Explore new methods, challenge existing metrics or protocols, develop new insightful theories that will change the way we understand machine learning. The Machine Learning Research team led by Samy Bengio, is looking for passionate researcher to investigate the next generation of Machine Learning techniques with particular attention to recurrent models, generative models, interpretability, and alignment. As a member of the MLR 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.

Are you passionate about advancing the state-of-the-art in ML and pursuing great innovation?

As an intern in the Machine Learning Research team, you will receive technical mentorship and guidance from a dedicated senior researcher and will be able to collaborate with a dynamic, multidisciplinary and international team of researchers and engineers. Together with your mentor, you will decide on a line of research that will impact the scientific research community, future Apple products, and society. You will work towards a publication in a top machine learning venue towards the end of the internship and will be responsible for delivering ML research aligned with the core values of Apple, ensuring the highest standards of quality, scientific rigour, 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.

Minimum Qualifications

Pursuing a PhD in Machine Learning, Computer Science, Statistics, or a related technical field.
Demonstrated expertise in machine learning supported by a strong publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AISTATS, CVPR, ICCV, ECCV, ICASSP, InterSpeech, AAAI, ACL, FAccT).
Hands-on experience working with Python and deep learning toolkits such as PyTorch and Jax.
Ability to formulate a research problem, design, experiment and implement solutions.
Ability to work in a collaborative environment.

Preferred Qualifications

A passion for one of the following areas: RNNs, generative AI, interpretability, or alignment.
Strong software engineering skills.
Strong mathematical skills in linear algebra and statistics.
Knowledge on image diffusion models
Experience in High-Performance Computing and kernel design