- Apple
- Zurich, ZH
- 4 days ago
AI Research Intern - Foundation Models & Multimodal Intelligence.
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AI Research Intern - Foundation Models & Multimodal Intelligence: our view in 3 lines...
- The Role:This role suits PhD students who want to research and build large AI models that process language and images.
- The Person:The intern will work on scaling and optimising large models, integrating models and agents into product features, and collaborating with engineers and scientists to advance foundation models and agentic systems.
- Requirements:The ideal candidate is pursuing a PhD or equivalent experience in Machine Learning, Computer Vision or Natural Language Processing, with experience in large language models and proficient Python programming.
About the role
Imagine building the next generation of AI-powered experiences at Apple. We are advancing the state of the art in foundation models, applying them across language, vision, and multimodal understanding to power features used by millions of people worldwide.
Description
As part of the Multimodal Intelligence Team (MINT), with a track record of delivering innovations from the Apple Foundation Model to real-world applications like Visual Intelligence, you will tackle the practical challenges of scaling, optimizing, for building large models as well as integrating such models and agents into Apple products. You’ll collaborate with world-class engineers and scientists to push the boundaries of foundation models and agentic systems while delivering real-world impact
Minimum Qualifications
Currently pursuing a PhD degree or equivalent experience in Machine Learning, Computer Vision, Natural Language Processing, Data Science, Statistics or related areas.
Experience with large language models or vision language models and their application in agentic systems.
Proficient programming skills in Python and experience with at least one modern deep learning framework (PyTorch, JAX, or TensorFlow).
Preferred Qualifications
Demonstrated publication record in relevant conferences (e.g. NeurIPS, ICML, ICLR, CVPR, etc).
Experience with foundation models (language, vision-language, or multimodal).
Experience post training (SFT or RL) for optimizing large models for agentic systems.
Available for 6-12 months for internship.