Multimodal AI Research Intern: Foundation Models & Agents

Apple, Inc.; Zürich; On-site; CHF 20,000 - 29,000; Full time

Job summary

Apple Zürich offers an internship to advance multimodal foundation models and agentic systems. You will work with the Multimodal Intelligence Team (MINT) to scale, optimize large models and integrate them into Apple products, collaborating with engineers and researchers to push the state of the art.

The role emphasizes post-training methods (SFT/RL), evaluation frameworks, and multimodal data, with a focus on producing novel research suitable for publication at top conferences during a 6–12

Qualifications

• Pursuing a PhD or equivalent in ML/CV/NLP/data science.
• Experience with large language models or vision-language models in agentic systems.
• Proficient in Python and at least one DL framework (PyTorch/JAX/TF).

Responsibilities

• Advance post-training capabilities of multimodal foundation models for agentic applications.
• Design evaluation frameworks to assess agent performance on realistic tasks and experiment with training strategies.
• Stay current with emerging research in foundation model agents and identify techniques to advance autonomous systems.

Skills

Python

Deep learning framework

Multimodal ML

Education

PhD candidate / PhD in ML/CS

Tools

PyTorch

JAX

TensorFlow

Job description

Apple Zürich offers an internship to advance multimodal foundation models and agentic systems. You will work with the Multimodal Intelligence Team (MINT) to scale, optimize large models and integrate them into Apple products, collaborating with engineers and researchers to push the state of the art.

The role emphasizes post-training methods (SFT/RL), evaluation frameworks, and multimodal data, with a focus on producing novel research suitable for publication at top conferences during a 6–12