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Computer Science Research Assistant Jobs in Layton, UT

University of Utah

Manager, Research

Salt Lake City, UT · On-site

$68K - $75K/yr

Responsibilities Project Management & Coordination: Assist the Principal Investigator (PI) in ... Experience : * Prior experience in research project coordination, preferably in social science ...

University of Utah

Research Technicians

Salt Lake City, UT · On-site

$9.45 - $21.69/hr

Responsibilities Research Technician, I Perform various support tasks in the Leffler Lab to assist scientific research team with the execution of data analysis, tests and experiments. Set up, operate ...

University of Utah

Research Technicians

Salt Lake City, UT · On-site

$9.45 - $21.69/hr

Responsibilities Research Technician, I Perform various support tasks in the Leffler Lab to assist scientific research team with the execution of data analysis, tests and experiments. Set up, operate ...

University of Utah

Research Technicians

Salt Lake City, UT · On-site

$9.45 - $21.69/hr

B.S. in biology or computer science or similar. This is an Entry-Level position in the Support ... Research Technician, I: Requires little to no related experience. Preferences Preferences Recent ...

University of Utah

Research Technicians

Salt Lake City, UT · On-site

$9.45 - $21.69/hr

B.S. in biology or computer science or similar. This is an Entry-Level position in the Support ... Research Technician, I: Requires little to no related experience. Preferences Preferences • ...

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Computer Science Research Assistant information

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How much do computer science research assistant jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for computer science research assistant in Layton, UT is $19.91, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.17 per hour, depending on experience, location, and employer.

What is a computer science research assistant?

A Computer Science Research Assistant supports professors or researchers in conducting experiments, analyzing data, and developing software or algorithms. They may assist with literature reviews, coding, debugging, or testing to advance research projects. The role often involves working with programming languages, machine learning, cybersecurity, or other specialized topics. It provides valuable experience for students or professionals looking to deepen their knowledge in the field.

What are the key skills and qualifications needed to thrive as a computer science research assistant?

To thrive as a Computer Science Research Assistant, you need strong analytical skills, proficiency in programming languages (such as Python, Java, or C++), and a solid understanding of algorithms and data structures, usually evidenced by coursework or a relevant degree. Familiarity with research tools, version control systems (like Git), and possibly certifications in data analysis or machine learning are advantageous. Excellent problem-solving abilities, attention to detail, and effective written and verbal communication help individuals excel when collaborating on research projects. These competencies enable you to support rigorous research, contribute to innovative solutions, and work efficiently as part of an academic or industry research team.

What are the typical duties and daily responsibilities of a computer science research assistant?

As a Computer Science Research Assistant, your daily responsibilities often include assisting with data collection and analysis, developing or testing software prototypes, conducting literature reviews, and helping prepare reports or presentations for research findings. You may also collaborate closely with faculty, graduate students, or industry partners, contributing to coding tasks, experimental setups, and troubleshooting technical issues as they arise. The role frequently involves both independent problem-solving and teamwork, providing a supportive environment to deepen technical skills and gain hands-on research experience. This position is an excellent opportunity to develop your research portfolio, learn advanced computing concepts, and prepare for potential graduate study or specialized tech careers.

What cities near Layton, UT are hiring for Computer Science Research Assistant jobs?

Cities near Layton, UT with the most Computer Science Research Assistant job openings:

Computer Science Research Assistant jobs near you
Infographic showing various Computer Science Research Assistant job openings in Layton, UT as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $41,404 per year, or $19.9 per hour.

Internship - Foundational Research Scientist

Smule

Salt Lake City, UT • Remote

Other

Re-posted 11 days ago

Job description

Salary:

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.