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Computer Science Internship Jobs in Sandy, UT (NOW HIRING)

Senior Auditor

Sandy, UT · On-site

$80 - $110/hr

Provide guidance and mentorship to Staff Auditors and interns. * Review audit workpapers and ensure ... Bachelor's degree in information systems, Computer Science, Accounting, Cybersecurity, Data ...

New

IT Intern

Salt Lake City, UT · On-site

$14.50 - $19.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Pursuing a Bachelor's or Master's degree in Information Systems, Computer Science, Cyber Security, ... p experience • Experience with security operations • Experience using AI tools to augment and ...

Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics. * Prior internships/full-time roles in an operational, data, or technical ...

This internship offers meaningful opportunities to build foundational finance skills and gain an ... Strong computer and technical skills. * The ability to analyze data and ensure the accuracy of ...

This internship offers meaningful opportunities to build foundational finance skills and gain an ... Your Toolkit • Strong computer and technical skills. • The ability to analyze data and ensure ...

This internship offers meaningful opportunities to build foundational finance skills and gain an ... Your Toolkit Strong computer and technical skills. The ability to analyze data and ensure the ...

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Computer Science Internship information

See Sandy, UT salary details

$8

$20

$45

How much do computer science internship jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for computer science internship in Sandy, UT is $20.78, according to ZipRecruiter salary data. Most workers in this role earn between $11.30 and $23.95 per hour, depending on experience, location, and employer.

What are internship opportunities in computer science?

An internship in computer science provides on-the-job training for students who study computer science. Your duties in this program depend on the focus on the internship. Some interns get experiencing coding and developing software, applications, or website user interfaces. As an intern, you work under the direction of programming and development professionals. Your responsibilities include writing lines of code, testing and debugging software, learning computer languages in a realistic setting, and functioning as part of a team. Other computer science internships focus on providing technical support, cybersecurity services, or administration services as part of an IT team.

What is a computer science internship?

A computer science internship is a temporary position that allows students or recent graduates to gain practical experience in the field of computer science. Interns typically work on real-world projects, assisting with programming, software development, data analysis, or IT support under the supervision of experienced professionals. These internships provide valuable hands-on skills, networking opportunities, and insight into potential career paths within technology industries.

What types of projects does a computer science intern typically work on, and how much autonomy can I expect?

Computer Science interns often contribute to real-world projects such as developing new software features, debugging code, automating processes, or supporting infrastructure. While the level of autonomy varies by company, interns are generally given meaningful tasks and encouraged to collaborate with senior engineers and cross-functional teams. You'll likely participate in code reviews, agile sprints, and team meetings, gaining hands-on experience and feedback. Many organizations assign mentors to guide interns, helping them balance independence with structured learning and support.

What are the key skills and qualifications needed to thrive as a computer science intern, and why are they important?

To thrive as a Computer Science Intern, you generally need foundational knowledge in programming, algorithms, and data structures, often supported by progress toward a computer science degree. Familiarity with coding languages such as Python, Java, or C++, as well as experience using version control systems like Git, is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative environments. These skills and qualities are essential because they enable interns to contribute meaningfully to projects, adapt to new technologies, and work efficiently within a development team.

What is the difference between Computer Science Internship vs Software Developer Intern?

AspectComputer Science InternshipSoftware Developer Intern
Required CredentialsTypically pursuing or recent graduate in CS or related fieldSame as CS internship, often students or recent grads
Work EnvironmentVaries across tech companies, research labs, startupsPrimarily software development teams in tech firms
Employer & Industry UsageUsed across academia, industry, research projectsPrimarily in software development companies and tech industry
Common Search & Comparison IntentUnderstanding internship opportunities in CSComparing software development internship roles

Both Computer Science Internships and Software Developer Internships target students or recent graduates interested in tech. While CS internships may include research, data analysis, or broader technical roles, Software Developer Internships focus specifically on coding and software creation. The choice depends on your career goals and the specific skills you want to develop.

What do you do as a computer science intern?

A computer science intern typically assists with software development, coding, testing, and debugging projects. They may work with programming languages like Python, Java, or C++, and often collaborate with teams to gain practical experience in software engineering and problem-solving. Internships usually involve learning industry tools and following project deadlines under supervision.

What internships should I apply for in computer science?

Computer science internships are available in tech companies, startups, and research labs, often focusing on software development, data analysis, or cybersecurity. Applicants should have programming skills in languages like Python, Java, or C++, and may need to demonstrate problem-solving abilities or relevant coursework. Internships can be paid or unpaid and typically require a resume and sometimes a cover letter or technical assessment.
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What are the most commonly searched types of Computer Science jobs in Sandy, UT?

The most popular types of Computer Science jobs in Sandy, UT are:

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For Computer Science Internship jobs in Sandy, UT, the most frequently searched job titles are:

What job categories do people searching Computer Science Internship jobs in Sandy, UT look for?

The top searched job categories for Computer Science Internship jobs in Sandy, UT are:

What cities near Sandy, UT are hiring for Computer Science Internship jobs?

Cities near Sandy, UT with the most Computer Science Internship job openings:

Infographic showing various Computer Science Internship job openings in Sandy, UT 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, with an average salary of $43,223 per year, or $20.8 per hour.

Internship - Research Engineer

Smule

Salt Lake City, UT • Remote

Other

Re-posted 17 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 hiring a Research Engineer to accelerate Smule's research teams by building the infrastructure, tooling, and experimental frameworks that make rigorous research possible at scale. You will work side-by-side with research scientists, turning experimental ideas into robust, reproducible code and helping bridge the gap between prototype and production. The ideal candidate is a skilled software engineer with genuine curiosity about ML research, deep systems knowledge, and a talent for making researchers more productive.


We strongly encourage candidates with non-traditional backgrounds to apply. If your path into research engineering came through audio software development, game engine programming, embedded systems, HPC, or another field, we want to hear from you.


What You'll Be Doing:

  • Design, implement, and maintain research infrastructure including experiment tracking, distributed training pipelines, and evaluation frameworks.
  • Collaborate with research scientists to implement, debug, and optimize novel model architectures, training procedures, and data pipelines.
  • Build tooling and abstractions that accelerate the experiment-iterate-publish cycle for the research team.
  • Ensure reproducibility of research results through rigorous version control of code, data, configurations, and compute environments.
  • Profile and optimize training and inference performance across GPU clusters, identifying and resolving bottlenecks.
  • Contribute to open-source projects and internal libraries that codify best practices and reusable components.


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 proficiency in Python and experience with PyTorch, including custom modules, training loops, and distributed training (DDP, FSDP).
  • Solid understanding of software engineering best practices: testing, CI/CD, code review, and documentation.
  • Familiarity with Linux, GPU computing, and cloud or on-prem HPC environments.
  • Ability to read and implement methods from ML research papers.


Bonus Points For:

  • Experience with audio, speech, or music signal processing pipelines.
  • Familiarity with containerization (Docker) and orchestration (Kubernetes, Slurm).
  • Contributions to open-source ML frameworks or research codebases.


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.