About the job
Application Deadline: 31st December 2026
We're looking for passionate researchers in the final years of their post-graduate studies to solve high-reaching, curiosity-driven projects that build the future of Apple and our products through open research. In this internship, you’ll dive into innovative foundational research in machine learning. You'll solve a variety of impactful problems, collaborating with leading machine learning engineers and researchers, with the chance to share your work through publications in top-tier scientific venues.
Responsibilities
Identifying a promising research opportunity, reviewing SoTA methods and relevant literature, crafting novel approaches, implementing them as code prototypes
Planning and running large-scale experiments across multi-node, multi-GPU systems
Writing a paper and seeing it through to submission
Collaborating further with MLR colleagues outside of Paris, in other Europe locations and in the US
Working towards publishing new findings arising from the project, either or both as open source code and publications
Qualifications
Minimum
Students currently pursuing a MSc or a PhD in Computer Science, Machine Learning or equivalent
Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AISTATS, CVPR, ACL, EMNLP, etc).
Hands-on experience working with deep learning toolkits such as JAX, PyTorch or MLX.
Teamwork skills needed to operate within and receive feedback from a large group of researchers.
Preferred
Strong mathematical skills in linear algebra, probability, optimization and statistics.
Ability to formulate a research problem, paired with strong prototyping/coding skills
Ability to design experimental plans and communicate progress.