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

Joining the CMU team opens the door to an array of exceptional benefits available to eligible employees.

Those employees who are benefits eligible have the opportunity to experience the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous employer contribution. You can also unlock your potential with tuition benefits and take well-deserved breaks with ample paid time off and observed holidays. Finally, rest easy knowing you are covered by life and accidental death and disability insurance. 

Other perks include a free Pittsburgh Regional Transit bus pass, our Family Concierge Team to help navigate childcare needs, fitness center access, and so much more!

For a comprehensive overview of the benefits that may be awaiting you, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role and responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique skills and the diverse perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Non-CMU Students

Position Type

Intern (Fixed Term)

Full Time/Part time

Full time

Pay Basis

Hourly

More Information: 

Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. 

Click here to view a listing of employee benefits

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

Statement of Assurance