AI Security Research Intern — Multi-Modal DL & Verification

Bosch USA; Pittsburgh (Allegheny County); On-site; USD 34,000 - 55,000; Full time

Job summary

Bosch USA's Pittsburgh-based Research and Technology Center invites fall 2026 interns to join our team and help develop new deep learning/AI algorithms for real-world applications, including multi-modal sensing for AI-driven robotics and automated driving.

You will design, implement, and document scalable AI methods, contribute to our deep learning framework, collaborate with researchers, and publish findings at leading AI conferences to shape Bosch products and services.

Qualifications

• Pursuing PhD 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.

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.

Skills

Machine learning fundamentals

Python

PyTorch

Communication

Security expertise

Education

PhD in Computer Science / Engineering / Data Science / Electrical Engineering / Mathematics

Tools

PyTorch

Job description

Bosch USA's Pittsburgh-based Research and Technology Center invites fall 2026 interns to join our team and help develop new deep learning/AI algorithms for real-world applications, including multi-modal sensing for AI-driven robotics and automated driving.

You will design, implement, and document scalable AI methods, contribute to our deep learning framework, collaborate with researchers, and publish findings at leading AI conferences to shape Bosch products and services.