What are the responsibilities and job description for the Software Engineering for AI Research Intern - Summer 2025 position at Software Engineering Institute?
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
Pittsburgh, PA
Job Function
Non-CMU Students
Position Type
Intern (Fixed Term)
Full time / Part time
Full time
Pay Basis
HourlyMore Information :
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Carnegie Mellon University is an Equal Opportunity Employer / Disability / Veteran .
Statement of Assurance
