National Security Solutions (NSS) Automation Intern

Project Overview

This role is with KBRs Mission Tech Solutions (MTS) within our National Security Solutions (NSS) business unit. At KBR MTS we dont just envision a world thats safer more secure and sustainable - we create it. Our legacy of delivering advanced full life cycle professional and technical solutions is matched only by our commitment to operational readiness and innovation. As stewards of critical missions for the Department of Defense Intelligence Community NASA and other key federal entities we excel in engineering logistics operations science program management mission IT and cybersecurity. United in our quest for excellence KBR stands at the vanguard ready to transform possibilities into impactful realities for a better tomorrow.

Key Responsibilities

• Implement clean modular and well-documented code to support data processing model training and evaluation workflows.

• Collaborate with senior engineers and mentors to translate high-level research goals into actionable technical tasks.

• Perform hands-on data preparation including preprocessing transformation and quality checks across diverse datasets.

• Design and run controlled experiments to compare algorithmic approaches and analyze performance results.

• Investigate emerging AI/ML techniques and prototype solutions that can be integrated into existing development pipelines.

• Debug profile and optimize code to improve model efficiency and overall system performance.

• Create visualizations metrics and technical summaries to communicate findings and progress to the engineering team.

Learning Outcomes & Impact

• Mentorship from experienced subject matter experts.

• Cutting edge projects relevant to real world challenges.

• Work in a collaborative and dynamic team environment.

• .Networking opportunities with other technologists and executives

• Competitive pay and great company culture.

• Scheduled Weekly Hours: Average 40 hours per week 10 weeks in duration during the period of Summer 2026.

Minimum Qualifications

• Currently enrolled and pursuing a Bachelors Masters or PhD degree in Computer Science Electrical Engineering Computer Engineering Physics or Applied Math.

• Strong proficiency in Python and experience with core ML libraries such as NumPy pandas scikit-learn TensorFlow or PyTorch.

• Ability to preprocess transform validate and manage datasets for training and analysis workflows.

• Skilled in writing clean modular well-documented code and debugging or optimizing ML pipelines.

• Strong work ethics and interpersonal skills.

• Strong analytical and problem-solving skills.

• Excellent written and verbal communication skills.

• Security Clearance: Ability to obtain a U.S. Government Secret Security clearance.