Graduate AI Research Intern: Transportation Safety

NLR; United States; Remote; USD 45,000 - 71,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

403(b) plan with employer match

Sick leave

Job summary

NLR is seeking graduate interns for the Artificial Learning and Intelligent Systems Group to support FHWA’s SI program. You will contribute to AI research for transportation safety, work with NLR and FHWA colleagues, and help develop roadmaps, portfolio planning, and technical communication.

The role requires strong Python skills, experience with modern AI methods, and coursework in transportation or data science.

Qualifications

• Proficiency in Python for data analysis and ML (pandas, NumPy, scikit-learn, PyTorch or TensorFlow).
• Hands-on experience with modern AI methods (e.g., deep learning or large language models).
• Coursework or project experience in transportation, CS, or data science.
• Excellent written and verbal communication, ability to summarize technical work for diverse audiences.

Responsibilities

• Conduct technology and literature scans of AI methods and summarize relevance, maturity, and risks for FHWA.
• Develop and evaluate AI/ML models for traffic operations and safety (flow prediction, speed control, anomaly detection).
• Process and integrate multimodal transportation datasets from sensors, video, trajectories, incidents; validate against field data.
• Write well-documented Python code and run workflows on HPC systems; document methodologies and results.
• Support program coordination by tracking tasks, preparing materials, and documenting decisions.
• Prepare briefings, white papers, and presentations for FHWA leadership and stakeholders.

Skills

Python

AI methods

Communication

Transportation CS DS coursework

Education

Bachelor's degree

Master's degree

Tools

Pandas

NumPy

scikit-learn

PyTorch

TensorFlow

Job description

NLR is seeking graduate interns for the Artificial Learning and Intelligent Systems Group to support FHWA’s SI program. You will contribute to AI research for transportation safety, work with NLR and FHWA colleagues, and help develop roadmaps, portfolio planning, and technical communication.

The role requires strong Python skills, experience with modern AI methods, and coursework in transportation or data science.