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Computer Science Research Assistant Jobs in Layton, UT

University of Utah

Research Associate

Salt Lake City, UT · On-site

$65K - $88K/yr

The research economist will collaborate with professional staff to help business and community ... Bachelor's degree in economics, statistics, information systems, computer science, or a related ...

Smule

Internship - Research Engineer

Salt Lake City, UT · On-site

$85 - $120/hr

About the Role We are hiring a Research Engineer to accelerate Smule's research teams by building ... D.) in Computer Science, Software Engineering, Electrical Engineering, or a related technical ...

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Computer Science Research Assistant information

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$7

$19

$28

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

As of Sep 2, 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 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 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 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 - Applied Research Scientist

Smule

Salt Lake City, UT • On-site

$110 - $170/hr

Other

Re-posted 2 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 Ro le:

We are seeking a Research Scientist for Smule's Applied Research team who thrives at the intersection of cutting‑edge ML research and real‑world product impact. You will take ideas from the research frontier, or originate your own, and develop them into practical solutions that improve Smule's products, pipelines, and user experience for a community of millions. The ideal candidate combines research depth with strong engineering instincts, a bias toward measurable outcomes, and genuine curiosity about how people make music.

We strongly encourage candidates with non‑traditional ML backgrounds to apply. If your path into applied machine learning came through audio engineering, music production, signal processing, data science, or another field, we want to hear from you.

What You'll Be Doing:
  • Develop and adapt state-of-the-art ML techniques to solve concrete product challenges in areas such as audio processing, content understanding, recommendation, and generative music, delivering measurable improvements in quality, latency, or user experience.
  • Design and run rigorous offline and online experiments (A/B tests, ablation studies) to validate model improvements before production deployment.
  • Collaborate closely with product managers, designers, and engineers to translate user needs into well‑scoped research problems.
  • Build prototype models and proof‑of‑concept systems that demonstrate feasibility and inform production architecture decisions.
  • Publish applied research findings at relevant venues and contribute to internal knowledge‑sharing through tech talks and documentation.
  • Monitor deployed models for drift, fairness, and performance, implementing continuous improvement loops.
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.
  • Demonstrated ability to take research ideas from paper to production, with experience shipping ML-powered features or systems.
  • Strong skills in experiment design, statistical analysis, and iterative model development.
  • Proficiency in Python, PyTorch or TensorFlow, and standard ML infrastructure (data pipelines, model serving, monitoring).
  • Effective communicator who can translate between research concepts and product requirements.
  • Track record of identifying high‑impact problems and delivering solutions with measurable outcomes.
Bonus Points For:
  • Experience with audio, speech, music, or multimedia ML applications.
  • Familiarity with on-device or edge deployment constraints (model compression, quantization, latency optimization).
  • Published work at conferences or journals, such as KDD, RecSys, EMNLP, Interspeech, ISMIR, or similar.

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.

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