Internship - Reasoning and agentic capabilities of LLMs

Apple

2d

About The Position

Apple is seeking a passionate researcher for curiosity-driven, long-term research projects intended to advance Apple AI and its products. The role focuses on foundational machine learning research into the reasoning capabilities of large language models (LLMs) and agentic systems. The intern will propose and carry out a research plan through implementation and experimentation, collaborating with colleagues and broader teams across Apple. The work offers opportunities to collaborate with machine learning engineers and researchers and publish results in scientific venues.

Requirements

• Demonstrated expertise in machine learning research.
• Hands-on experience with deep learning toolkits such as PyTorch.
• Exposure to recent reinforcement learning methodologies and agentic tools.
• Ability to formulate a research problem, design experiments, implement solutions, and communicate them.
• Ability to work in a diverse, collaborative environment.
• A publication record in relevant conferences, such as NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, or EMNLP.
• PhD or equivalent practical experience in computer science or a related technical field.

Nice To Haves

• A passion for at least one of the following areas: reasoning, post-training, context management, or agentic systems.

Responsibilities

• Propose a research plan to advance understanding of machine learning.
• Implement and experiment to execute the proposed research plan in collaboration with colleagues.
• Conduct foundational research focused on understanding and improving the reasoning capabilities of LLMs and agentic systems.
• Collaborate with broader teams across Apple.
• Communicate research solutions and results.
• Publish research results in high-quality scientific venues.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree