AI Security Research Intern

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.

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.

Additional Information :

Equal Opportunity Employer including disability / veterans.

*Bosch adheres to Federal State and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. 

Remote Work :

No

Employment Type :

Full-time