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Trainee Software Engineer Internship Jobs in Utah

Electrical Engineer

Salt Lake City, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... design software. * Develop and verify precise meter configurations based on project site ... Engineering internship or other experience related to utility metering. * Completion of internship ...

Senior Design Engineer

Cedar City, UT · On-site

$85K - $105K/yr

Serve as a technical resource and mentor for Design Engineers and Engineering Interns. * Provide ... Create and revise engineering drawings using CAD software (AutoCAD, AutoCAD Electrical). * Ensure ...

New

Collaborate closely with mechanical, electrical, controls, software engineering, design ... Academic, internship, project, or professional experience with engineering analysis tools or ...

New

Junior AI Engineer

Salt Lake City, UT · On-site

  • Retirement

  • PTO

Up to 2 years of professional, internship, academic, or project-based experience in software engineering, AI, or machine learning development * Strong programming skills in Python and experience ...

Data Engineer

Salt Lake City, UT · On-site

$105K - $126K/yr

Some hands-on exposure to ETL/ELT or pipelines in production or in a substantial project/internship ... This position requires direct or indirect access to hardware, software, technology or technical ...

Data Engineer

Salt Lake City, UT

$105K - $126K/yr

Some hands-on exposure to ETL/ELT or pipelines in production or in a substantial project/internship ... This position requires direct or indirect access to hardware, software, technology or technical ...

General Interest - Internship

Salt Lake City, UT · On-site

$14.50 - $19.25/hr

Our internships are hybrid and in-office/venue attendance is required. DESIGN ENGINEERING - Chadds ... Salt Lake City, UT Join our Engineering team and dive into immersive software development. You ...

Showing results 41-60

Trainee Software Engineer Internship information

What is the difference between Trainee Software Engineer Internship vs Junior Software Developer?

AspectTrainee Software Engineer InternshipJunior Software Developer
Required CredentialsTypically pursuing or recently completed a degree in Computer Science or related fieldCompleted degree or equivalent experience in software development
Work EnvironmentInternship programs, often in training or mentorship settingsFull-time employment in a development team
Employer & Industry UsageCommon in tech companies, startups, and educational programsStandard entry-level role in software companies
Search & Comparison IntentUnderstanding entry-level opportunities and training rolesSeeking full-time junior developer positions

The main difference is that a Trainee Software Engineer Internship is a temporary training position aimed at gaining practical experience, often for students or recent graduates. In contrast, a Junior Software Developer is a full-time role requiring some proven skills and ready to contribute to projects independently.

What cities in Utah are hiring for Trainee Software Engineer Internship jobs? Cities in Utah with the most Trainee Software Engineer Internship job openings:
Infographic showing various Trainee Software Engineer Internship job openings in Utah as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Internship - Machine Learning Engineer

Smule

Salt Lake City, UT • On-site

$110 - $150/hr

Other

Re-posted 10 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 Machine Learning Engineer to own the end-to-end lifecycle of ML models in production at Smule, from training and optimization through deployment, monitoring, and iteration. You will work closely with research scientists to bring models off the bench and into scalable, reliable systems that serve millions of users. The ideal candidate is a strong engineer first, with deep practical knowledge of ML systems, a passion for reliability, and an eye for performance.

We strongly encourage candidates with non-traditional backgrounds to apply. If your path into ML engineering came through backend systems, DevOps, audio software, data engineering, or another field, we want to hear from you.

What You'll Be Doing:
  • Design, build, and maintain production ML pipelines encompassing data ingestion, feature engineering, model training, evaluation, and deployment.
  • Optimize models for production constraints including latency, throughput, memory footprint, and cost, using techniques such as quantization, distillation, pruning, and efficient serving architectures.
  • Implement robust monitoring, alerting, and observability for deployed models, covering data drift, prediction quality, and system health.
  • Collaborate with research scientists to integrate new model architectures and training techniques into production systems with minimal friction.
  • Build and improve CI/CD pipelines for ML, including automated testing, validation gates, and staged rollouts.
  • Manage compute infrastructure and costs, making informed tradeoffs between performance, reliability, and budget.
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 deep learning serving (TorchServe, Triton, vLLM, or equivalent).
  • Solid understanding of systems engineering: networking, storage, containerization, orchestration, and monitoring.
  • Ability to reason about tradeoffs between latency, throughput, cost, and model quality.
Bonus Points For:
  • Experience serving large language models or other generative models at scale.
  • Familiarity with audio/music processing pipelines and real-time inference constraints.
  • Experience with Bayesian optimization, bandit algorithms, or adaptive experimentation platforms.
  • Contributions to open-source ML infrastructure projects.

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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