AI Security Research Intern

Job Description:

Job Description

We are looking for highly motivated students (fall 2026) to join our research team in developing new deep learning/AI algorithms for various real-world applications of AI, including but not limited to:
* large language model, vision language model,
* AI efficiency, and
* security of agentic AI with emphasis on formal modeling and formal verification approaches
This internship role will focus on the following responsibilities:
* Design, development and implementation of novel deep learning algorithms targeted towards scalable and verifiable data-curation and auto-labeling on public benchmarks and multi-modal Bosch data from application areas such as automated driving and robotics
* Technical discussions with the research team towards creation of new ideas and improve upon the existing solutions.
* Clean, efficient, and well-documented implementation of new AI methods.
* Code contributions to our deep learning framework.
* Publish at leading AI conferences, and ultimately shape the future of Bosch products and services

Candidate Requirements:

Qualifications

Required Qualification:
* Pursuing PhD degree in Computer Science / Engineering, Data Science, Electrical Engineering, or Mathematics.
* Strong foundation and broad knowledge of Machine Learning algorithms and principles.
* Programming experience in Python + PyTorch.
* Excellent communication skills.
* Demonstrated security expertise via publications and/or patent applications
Desired Qualification:
* Experience with working on Machine Learning, or Deep Learning projects and Security technologies
* Established publication record in Machine Learning and Security or related fields.
* Good coding practices, ability to write efficient and readable code.
* Good writing and presentation skills