ZipRecruiter

Log In

1

Math Internship Jobs in Layton, UT (NOW HIRING)

Moog

Associate Manufacturing Engineer

Salt Lake City, UT · On-site

$70K - $90K/yr

... internship or co-op experience is a plus. * Strong analytical and problem-solving skills with a ... Ability to apply math and basic statistics to technical problems * Skills in data analysis, problem ...

next page

Showing results 1-20

All JobsMath JobsMath Internship JobsMath Internship Jobs in Layton, UT

Math Internship information

See Layton, UT salary details

$10

$17

$31

How much do math internship jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for math internship in Layton, UT is $17.57, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $19.66 per hour, depending on experience, location, and employer.

What is the difference between Math Internship vs Data Analyst?

AspectMath InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in Mathematics, Statistics, or related fieldsBachelor's degree in Mathematics, Statistics, Computer Science, or related fields
Work EnvironmentInternship programs in corporate, research, or academic settingsFull-time roles in corporate, finance, tech, or healthcare industries
Employer & Industry UsageEducational institutions, research labs, companies offering internship programsBusinesses analyzing data to inform decisions, improve processes, or develop products

Math internships are typically short-term, entry-level opportunities for students or recent graduates to gain practical experience in mathematical applications. Data analysts are full-time professionals responsible for interpreting data, creating reports, and supporting business decisions. While both roles require strong math skills, internships focus on learning and exposure, whereas data analyst roles involve ongoing responsibilities in data management and analysis.

What types of projects or tasks can I expect to work on during a Math Internship?

As a Math Intern, you'll typically engage in a variety of analytical tasks such as data analysis, statistical modeling, and assisting with research projects. Depending on the organization, you might work on real-world problems like optimizing processes, interpreting large datasets, or supporting ongoing studies with mathematical computations. Interns often collaborate with experienced mathematicians, data analysts, and other team members, which provides valuable opportunities to learn industry-standard tools and methodologies. These experiences help build both technical and professional skills, laying a strong foundation for future career growth.

What is a math internship?

A math internship is a temporary position that allows students or recent graduates to gain practical experience by applying mathematical concepts and skills in a real-world setting. These internships often involve working on projects related to data analysis, research, statistical modeling, or problem solving in industries such as finance, engineering, technology, or academia. Math internships provide valuable opportunities to learn from professionals, build a network, and enhance a resume, all while exploring potential career paths in mathematics.

What are the key skills and qualifications needed to thrive as a Math Intern, and why are they important?

To thrive as a Math Intern, you need a strong grasp of mathematical concepts, analytical thinking, and problem-solving abilities, often supported by coursework in mathematics or related fields. Familiarity with data analysis tools (like Excel, MATLAB, or Python), and statistical software is typically required. Strong communication, teamwork, and a willingness to learn help you stand out in collaborative, project-based environments. These skills are crucial for effectively contributing to real-world projects, interpreting data, and supporting more experienced professionals in the field.
What are the most commonly searched types of Math jobs in Layton, UT? The most popular types of Math jobs in Layton, UT are:
What are popular job titles related to Math Internship jobs in Layton, UT? For Math Internship jobs in Layton, UT, the most frequently searched job titles are:
What cities near Layton, UT are hiring for Math Internship jobs? Cities near Layton, UT with the most Math Internship job openings:
Math Internship jobs near you
Infographic showing various Math Internship job openings in Layton, UT as of July 2026, with employment types broken down into 7% Internship, 1% As Needed, 66% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $36,554 per year, or $17.6 per hour.
Internship - Foundational Research Scientist

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.