Software Engineering for AI Research Intern - Summer 2025

What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time.

Position Summary

The SEI's Tactical and AI-enabled Systems (TAS) team is a group of software engineers, software engineering researchers, and data scientists focused on creating tools and practices to help organizations engineer and deploy tactical edge and AI-enabled systems. One of the current research focus areas within Software Engineering for AI is testing of ML capabilities with a systems focus - ML capabilities integrated into software systems (ML-enabled systems).

The Software Engineering for AI Research Intern will contribute to a variety of activities within the Establishing the Practice of Integrated T&E for ML Capabilities area including

• Assessing the state of the practice for testing of ML capabilities

• Creating and implementing new and effective approaches for testing of ML capabilities

• Creating new and effective ways of reporting testing evidence to external organizations

• Embedding testing and testing evidence features into an existing ML Test and Evaluation (MLTE) process and toolset

• Contributing to sharing the results via peer reviewed articles, blog posts, and other relevant publications

Requirements:

• Enrolled in a PhD program relevant to software engineering.

• Able to work an internship during the summer 2025.

• Able to work onsite at the SEI Pittsburgh office.

• You will be subject to a background check investigation.

• Eligibility to work in the United States without visa sponsorship

• Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.

Knowledge, Skills and Abilities:

• Ability to critically think and problem solve

• Solid understanding of software engineering and software testing

• Proficiency in model development, testing, and evaluation using Python and Jupyter notebooks

• Ability to collaborate internally and externally with professional engineers and researchers

• Willingness to learn new technologies

Desired Experience:

• Experience with test and evaluation of ML capabilities

• Experience with clearly documenting and communicating findings

Location

Job Function

Position Type

Full time/Part time

Pay Basis

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• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

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