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AI Research Intern - Foundation Models & Multimodal Intelligence at Apple
Zurich, Zurich, Switzerland -
Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

0.0

Posted On

25 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Computer Vision, Natural Language Processing, Data Science, Statistics, Large Language Models, Vision Language Models, Python, Deep Learning Frameworks, PyTorch, JAX, TensorFlow, Foundation Models, Multimodal Intelligence, Agentic Systems, Post Training, Optimizing Large Models

Industry

Computers and Electronics Manufacturing

Description
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.
Responsibilities
You will tackle the practical challenges of scaling and optimizing large models and integrating them into Apple products. Collaborate with engineers and scientists to push the boundaries of foundation models and agentic systems.