Internship - Reasoning and agentic capabilities of LLMs

Apple; Zürich; On-site; CHF 17,000 - 23,000; Part time

Job summary

Apple Zürich invites applications for an internship focusing on reasoning and agentic capabilities of LLMs. You will contribute to foundational ML research and long-term curiosity-driven projects that influence Apple AI and products.

You will propose and execute your research plan, collaborate with ML engineers and researchers, and share results with leading venues when appropriate. This role emphasizes collaboration and diversity, with accessibility valued across teams.

Qualifications

• Demonstrated expertise in machine learning research.
• Hands-on experience with deep learning toolkits such as PyTorch and exposure to recent RL methodologies.
• Ability to formulate a research problem, design, implement and communicate solutions.
• Ability to work in a diverse collaborative environment.

Responsibilities

• Propose a research plan to advance understanding of LLM reasoning and agentic systems.
• Execute the plan through implementation and experimentation in collaboration with colleagues.
• Publish results in high-quality scientific venues where appropriate.

Skills

Machine learning research

PyTorch

RL methodologies

Experiment design

Education

PhD or equivalent practical experience in CS

Publication record in relevant conferences

Tools

Agentic tools

Job description

Internship - Reasoning and agentic capabilities of LLMs

Play a part in building the next generation of artificial intelligence and machine learning technology. We're looking for a passionate researchers to work on ambitious curiosity-driven long-term research projects that will impact the future of Apple AI and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning focusing on the reasoning capabilities of LLMs and agentic systems. 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.

Description

You have a strong research background in machine learning or related fields and have some expertise with modern ML training methods. You will propose your own research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. The topic of research will be focused on understanding and improving the reasoning capabilities of LLMs and agentic systems. You will have the opportunity to collaborate with broader teams across Apple.

Minimum Qualifications

• Demonstrated expertise in machine learning research.
• Hands-on experience working with deep learning toolkits such as PyTorch, as well as exposure to more recent RL methodologies and agentic tools.
• Ability to formulate a research problem, design, experiment, implement and communicate solutions.
• Ability to work in a diverse collaborative environment.

Preferred Qualifications

• Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc).
• PhD or equivalent practical experience, in computer science, or related technical field.
• A passion for one of the following areas: reasoning, post-training, context management, agentic systems.

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace