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Apple

Internship - Machine Learning (Foundation Models)

Apple Zurich, Zurich, Switzerland

Computers and Electronics Manufacturing · 10,001+ employees

Yesterday
machine-learning Junior (0-2 yrs) Internship Switzerland
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About the role

The intern will conduct research and development on foundation models to enhance agentic capabilities and Reinforcement Learning. They will collaborate with an applied ML team to transfer research results into real-world performance for Apple platforms.

What they look for

Machine Learning Foundation Models Reinforcement Learning Deep Learning LLMs Python PyTorch JAX Pre-training Fine-tuning Alignment Problem Solving Critical Thinking

Requirements

Candidates must be PhD students in a relevant field such as Machine Learning, Computer Science, or Statistics. They are required to have strong programming skills in Python, PyTorch, and JAX, along with hands-on experience in training large models.

Full description

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.

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

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