Internship - Machine Learning (Foundation Models)

Internship

• Machine Learning (Foundation Models)

Summary

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, Py Torch, 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.

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