Research Intern, Assistive Agents - School of Computer Science - LTI

Carnegie Mellon University; Pittsburgh (Allegheny County); Sur place; USD 28 000 - 48 000; Plein temps

Avantages offerts par ce poste

Tuition benefits

Bus pass

Fitness center access

Résumé du poste

Carnegie Mellon University’s Language Technologies Institute in Pittsburgh invites applications for a Research Intern to design user-centered interaction strategies for an interactive assistive agent that helps people with daily activities over extended periods. You will implement these strategies in an interactive agent and conduct extended user tests.

The role requires a Master’s degree in CS, psychology, or related field, experience with AI/ML and IRB studies, Python proficiency, and

Qualifications

• Master’s degree in computer science, psychology, human-computer interaction, or related field.
• Research experience in HCI, robotics, or AI/ML, including support for human-subject studies.
• Understanding of AI/ML including Generative AI.
• Basic proficiency with a programming language (preferably Python).
• Familiarity with common AI/ML software packages and tools (e.g. PyTorch, TensorFlow, ART).
• Familiarity with human subject studies and IRB protocols.
• Strong critical thinking, problem-solving and collaboration skills.
• Willingness to travel to conferences and similar events.
• Able to work onsite in Pittsburgh, full-time from 11/1/2026-3/31/2027.

Responsabilités

• Design user-centered interaction strategies for an assistive agent that supports people with daily activities.
• Implement those strategies in an interactive agent and test them with users over extended time periods.
• Design and run human-subject studies under approved IRB protocols to evaluate the agent.
• Analyze study data to assess agent performance and participant experience, and revise the interaction design accordingly.
• Present results at internal meetings and at conferences.

Connaissances

Python (basic)

IRB familiarity

AI/ML understanding

HCI research

Data analysis

Formation

Master’s degree in HCI

Outils

PyTorch

TensorFlow

ART

Description du poste

About Carnegie Mellon University

Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding, processing, and generating human language in both written and spoken forms.

Position Summary

LTI is seeking a Research Intern to design user-centered interaction strategies for an interactive assistive agent that helps people with daily activities over extended time periods. The intern implements those strategies, runs human-subject studies to test them, and analyzes the resulting data. This is a full-time, onsite position in Pittsburgh running from November 1, 2026 – March 31, 2027.

Core Responsibilities

• Design user-centered interaction strategies for an assistive agent that supports people with daily activities.
• Implement those strategies in an interactive agent and test them with users over extended time periods.
• Design and run human-subject studies under approved IRB protocols to evaluate the agent.
• Analyze study data to assess agent performance and participant experience, and revise the interaction design accordingly.
• Present results at internal meetings and at conferences.

Qualifications

• Master’s degree in computer science, psychology, human-computer interaction, or related field required.
• Research experience in HCI, robotics, or AI/ML, including support for human-subject studies.
• Understanding of AI/ML including Generative AI
• Basic proficiency with a programming language (preferably Python)
• Familiarity with common AI/ML software packages and tools (e.g. PyTorch, TensorFlow, ART)
• Familiarity with human subject studies and IRB protocols
• Strong critical thinking, problem-solving and collaboration skills necessary.
• Willingness to travel to conferences and similar events.
• Able to work onsite in Pittsburgh, full-time from 11/1/2026-3/31/2027.
• A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.

Requirements

• Successful completion of a pre-employment background check
• Applicants for this position must be currently legally authorized to work for CMU in the United States.

Benefits

• Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions.
• Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
• Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
• For a comprehensive overview of the benefits available, explore our Benefits page.

Location

Pittsburgh, PA

Job Function

Researchers

Position Type

Staff – Fixed Term (Fixed Term) Full Time/Part time Full time

Contract Terms

Pay Basis Hourly

Equality and Diversity

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

Inclusivity statement

We appreciate your unique skills and the 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.

Accessibility Statement

We are committed to providing an accessible experience throughout our recruitment process. If you need assistance or a reasonable accommodation at any stage of the application, interview, or hiring process, please contact Equal Opportunity Services by email at [e-mail] or by phone at 412-268-5072.