Internship - Machine Learning (Foundation Models)

Apple Inc.; Zürich; Vor Ort; CHF 20.000 - 27.000; Teilzeit

Zusammenfassung

Apple Inc. in Zurich is seeking an ML research intern to contribute to foundation model development and agentic capabilities, with emphasis on Reinforcement Learning.

You’ll work with an applied ML team of ~35 engineers in Zurich and collaborate with experts in the US. During the internship you will conduct research and development for Apple foundation models powering AI experiences across platforms, translating research into scalable real-world performance, and exploring alignment and safety

Qualifikationen

• PhD student in ML or related fields.
• Strong background in RL and DL with hands-on experience training large models, in particular LLMs.
• Experience with training methodologies including pre-training, fine-tuning, and alignment approaches.
• Strong programming skills in Python, PyTorch, and JAX.

Aufgaben

• Research and develop novel approaches for enhancing foundation model capabilities.
• Leverage state-of-the-art RL methods to improve reasoning and planning in agents.
• Design and train agents with tool calling, planning, and API integration.
• Investigate multimodal foundation models spanning text, vision, audio, and other modalities.
• Collaborate on model alignment, safety, and responsible AI practices.

Kenntnisse

Reinforcement Learning

Deep Learning

Python programming

Ausbildung

PhD student in Machine Learning

Tools

Python

PyTorch

JAX

Jobbeschreibung

Internship - Machine Learning (Foundation Models)

We are looking for a machine learning research intern with passion to spearhead new solutions to challenging problems in foundation model development with an emphasis on agentic capabilities and Reinforcement Learning. You will closely work with an applied ML team of around 35 engineers in Zurich, and get the chance to connect with other experts in the US.

Description

During your internship, you will do research and development in the context of Apple foundation models that power next-generation AI experiences across Apple's platforms. You will learn what is relevant to transfer results from machine learning research to meaningful real-world performance at scale. Your work can contribute to Apple Intelligence and be shipped to billions of devices, worldwide.

Responsibilities

• Research and develop novel approaches for enhancing foundation model capabilities
• Leverage state-of-the-art, large-scale RL methods to improve reasoning and planning, multi-turn conversations, and general agentic capabilities.
• Design and train agents with tool calling, planning, and API integration to reliably complete tasks.
• Investigate multimodal foundation models spanning text, vision, audio, and other modalities
• Collaborate on model alignment, safety, and responsible AI practices
• Contribute to the development of tools and frameworks for foundation model experimentation and evaluation

Minimum Qualifications

• PhD student in Machine Learning (Computer Science, Electrical & Computer Engineering, Statistics, Math, Natural Sciences, or other related fields)
• Strong background in Reinforcement Learning and Deep Learning, with hands-on experience training large models, in particular LLMs
• Experience with training methodologies including pre-training, fine-tuning, and alignment approaches
• Strong programming skills. Most relevant are Python, PyTorch, and JAX

Preferred Qualifications

• Excellent problem solving, critical thinking, and interpersonal skills.
• Ability to define and drive ambitious goal-oriented research and development independently

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