National Security Solutions (NSS) Internship – AI Engineer Intern

KBR • El Segundo, CA

17h

About The Position

KBR Mission Technical Solutions delivers full life cycle professional and technical solutions that improve operational readiness and drive innovation. Our solutions help ensure mission success on land, air, sea, space and cyberspace for the Department of Defense, Intelligence Community, NASA and other federal agencies. KBR’s areas of expertise include engineering, logistics, operations, science, program management, mission IT and cybersecurity. KBR strives to create a safer, more secure and sustainable world by bringing together the best and brightest to deliver technologies and solutions that help our customers accomplish their most critical missions and objectives.

This role is with KBR’s Mission Tech Solutions (MTS). At KBR MTS, we don't just envision a world that's 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.

Why Join KBR?
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

As a National Security Solutions – AI Engineer Intern, you will:
Define a representative SATCOM domain corpus and extract technical sentence pairs relevant to requirement matching.
Evaluate baseline sentence transformer models and identify performance gaps on SATCOM semantic comparison tasks.
Fine-tune an open-source embedding model on curated domain data using contrastive learning techniques.
Validate the resulting model’s performance using retrieval metrics and integrate it into a prototype semantic search or RAG system.
Document the model training pipeline and provide a roadmap for future iteration and production deployment.

Selected interns for this paid opportunity will be provided with the opportunity to mentor with experienced professionals, gain experience and establish a name for themselves in this high demand career field.

Requirements

• Candidate must be pursuing a degree in a technical field (Bachelor’s, Graduate’s or PhD); must have excellent problem-solving skills.
• Knowledge and application of Python, SQL
• Strong desire to learn and absorb new information
• Strong verbal and written communications skills
• Must be able to commit to a minimum 1-semester summer co-op/internship.
• Strong work ethics and interpersonal skills
• Strong analytical and problem-solving skills
• Must be able to obtain at least a DoD Secret clearance

Nice To Haves

• Data science, Modelling & simulation undergraduate student
• Knowledge and application of PowerBI
• Knowledge and application of SQL Server Studio
• Knowledge and application of Cameo System Modeler
• Industry certification(s) relating to your academic field
• Industry certification relating to your work
• Ability to work independently and take ownership of projects
• Able to return for a subsequent internship/co-op for the following year.

Responsibilities

• Define a representative SATCOM domain corpus and extract technical sentence pairs relevant to requirement matching.
• Evaluate baseline sentence transformer models and identify performance gaps on SATCOM semantic comparison tasks.
• Fine-tune an open-source embedding model on curated domain data using contrastive learning techniques.
• Validate the resulting model’s performance using retrieval metrics and integrate it into a prototype semantic search or RAG system.
• Document the model training pipeline and provide a roadmap for future iteration and production deployment.

What This Job Offers

• Career Level: Intern