Internship - Artificial Intelligence / Machine Learning Research

Summary

• Application Deadline: Sunday 23rd November

Requirements

• Pursuing a PhD in Machine Learning, Computer Science, Statistics, or a related technical field.
• Confirmed 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.

Nice to Haves

• Strong software engineering skills.
• A passion for one of the following areas: multi-modal models, generative AI, reinforcement learning, and agentic systems.
• Strong mathematical skills in linear algebra, statistics, and analysis.
• Ability to work in a collaborative environment.

What You'll Be Doing

• Play a part in the revolution of machine learning research.
• Explore innovative methods, challenge existing metrics and protocols.
• Develop new informative theories reshaping our understanding of ML.
• Investigate the next generation of ML techniques focusing on multi-modality, generative models, interpretability, and alignment.
• Collaborate with world-class machine learning researchers and drive innovative research agendas.
• Publish groundbreaking research at international conferences.

Perks and Benefits

• Receive technical mentorship and guidance.
• Collaborate with a dynamic, multidisciplinary, and international team.
• Impact the scientific research community, future Apple products, and society at large.
• Deliver high-quality ML research aligned with Apple's core values.
• Ensure the highest standards of quality, scientific rigor, innovation, and respect for user privacy.