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Computer Science Psychology Internship Jobs in Utah

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Computer Science Psychology Internship information

What is a computer science psychology internship?

A Computer Science Psychology Internship is a practical work experience opportunity that combines elements of computer science and psychology. Interns in this field typically work on projects involving human-computer interaction, user experience research, cognitive modeling, or behavioral data analysis. The goal is to apply psychological principles to technology design or to use computational tools to study psychological phenomena. This type of internship is ideal for students interested in the intersection of technology and human behavior. It helps participants gain hands-on experience, develop interdisciplinary skills, and explore career options in both fields.

What are the key skills and qualifications needed to thrive as a computer science psychology intern?

To thrive as a Computer Science Psychology Intern, you typically need coursework or a degree in computer science, psychology, or cognitive science, along with strong analytical and programming skills. Familiarity with statistical analysis software (such as SPSS or R), programming languages (like Python), and data collection platforms is highly valuable. Excellent communication, curiosity, and teamwork help you collaborate on research projects and interpret interdisciplinary data. These skills enable interns to effectively contribute to research at the intersection of technology and human behavior, driving meaningful insights and innovation.

How do computer science psychology interns typically collaborate with multidisciplinary teams during their internship?

Computer Science Psychology interns often work closely with professionals from diverse fields, such as software developers, UX/UI designers, data analysts, and behavioral scientists. Collaboration typically involves contributing to research projects, assisting in the design and testing of digital tools or experiments, and analyzing user interaction data to draw insights about human behavior. Interns are encouraged to participate in team meetings, present findings, and integrate feedback, which helps develop both technical and interpersonal skills. This collaborative environment provides valuable exposure to real-world applications of both computer science and psychology, preparing interns for future roles in interdisciplinary teams.

What is the difference between Computer Science Psychology Internship vs Data Analyst Internship?

AspectComputer Science Psychology InternshipData Analyst Internship
Required CredentialsRelevant coursework in psychology and computer science, possibly some programming skillsStatistics, mathematics, and data analysis skills, often with programming knowledge
Work EnvironmentResearch labs, tech companies, healthcare settingsBusiness, finance, tech firms, or healthcare organizations
Employer & Industry UsageUniversities, research institutions, tech companies focusing on human-computer interactionCorporations, consulting firms, government agencies analyzing data

The Computer Science Psychology Internship focuses on applying psychology principles within tech environments, often involving research and human-computer interaction. In contrast, a Data Analyst Internship emphasizes analyzing data to inform business decisions. Both roles require analytical skills and some programming knowledge but differ in industry focus and daily tasks.

What are popular job titles related to Computer Science Psychology Internship jobs in Utah?

For Computer Science Psychology Internship jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Computer Science Psychology Internship jobs?

Cities in Utah with the most Computer Science Psychology Internship job openings:

Infographic showing various Computer Science Psychology Internship job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Internship - Foundational Research Scientist

Salt Lake City, UT • On-site

Smule, Inc
11 - 50 employees

Full-time

Re-posted 27 days ago


Job description

Smule has been on a mission to bring the world together through music since 2008. Music is much more than listening... it's about creating, sharing, discovering, participating, and connecting with people. With dozens of millions of monthly active users creating over 20 million songs every day, Smule is connecting people all over the world through the joy of making music and transforming the music landscape from one of passive listening to collaborative creative expression and active engagement.
About the Role:
We are looking for a Research Scientist to join Smule's Foundational Research team. In this role you will pursue long-horizon research questions that advance the state of the art in sequence modeling, generative modeling, and representation learning, with a particular focus on architectures and methods relevant to audio and music. You will design and execute rigorous experiments, publish at top venues, and contribute novel ideas that shape the direction of Smule's research agenda. The ideal candidate is deeply curious, comfortable with open-ended exploration, and motivated by scientific contribution.
We strongly encourage candidates with non-traditional ML backgrounds to apply. If your path into machine learning research came through physics, mathematics, signal processing, music technology, neuroscience, or another field, we want to hear from you.
What You'll Be Doing:
  • Identify, scope, and lead independent research projects that push the boundaries of current understanding in areas such as efficient sequence modeling, generative audio, representation learning, and optimization.
  • Design experiments with rigorous controls, ablation studies, and statistical analysis to validate hypotheses.
  • Publish findings at top-tier venues (NeurIPS, ICML, ICLR, Interspeech, ISMIR, or equivalent) and contribute to the broader research community through open-source artifacts and talks.
  • Collaborate with applied research and engineering teams to translate foundational insights into practical improvements for Smule's products.
  • Stay current with the latest literature, synthesize relevant work, and identify high-leverage research directions for the team.
  • Mentor junior researchers and interns, fostering a culture of intellectual rigor and creative exploration.

What We're Looking For:
  • Degree (B.S., M.S., or Ph.D.) in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline, or currently pursuing one.
  • Strong publication record at top ML/AI venues demonstrating original contributions.
  • Deep expertise in at least one core area: sequence modeling, generative models, optimization, probabilistic methods, or representation learning.
  • Proficiency in Python and modern deep learning frameworks (PyTorch preferred).
  • Excellent written and verbal communication skills; ability to present complex ideas clearly to diverse audiences.
  • Demonstrated ability to independently scope, execute, and communicate a research project from idea to publication.

Bonus Points For:
  • Experience with audio, speech, or music signal processing and modeling.
  • Familiarity with linear attention mechanisms, state-space models, or efficient transformer variants.
  • Experience with large-scale distributed training and high-performance computing.
  • Track record of successful cross-functional collaboration with engineering teams.

Smule is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under federal, state, or local law.
We are committed to creating an inclusive environment for all employees and applicants. If you require a reasonable accommodation during the application or interview process, please let us know.