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Validation Engineer Intern Jobs in Utah (NOW HIRING)

TERRACON

Senior Staff Engineer - Part time

Midvale, UT · On-site

$98K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A valid driver's license with acceptable violation history may be required. Preferred Qualifications: * Engineering Intern (Engineer in Training) (Or ability to obtain) About Us Terracon is a 100 ...

TERRACON

Senior Staff Engineer - Part time

Midvale, UT

$98K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A valid driver's license with acceptable violation history may be required. Preferred Qualifications: * Engineering Intern (Engineer in Training) (Or ability to obtain) * Follow safety rules ...

Zimmer Biomet

$13 - $17.50/hr

... developers and analysts ... Support the documentation of technical processes, user guides, and validation protocols.

POWDR Corp.

IT Technician Intern

Park City, UT · On-site

$15.75 - $21/hr

... programming, innovative environments, and passionate people. Woodward's footprint includes camps ... Valid driver's license is required. * Physical Capabilities: bend, twist, push, pull, stand, lift ...

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Validation Engineer Intern information

What does a validation engineer intern do?

A Validation Engineer Intern assists in ensuring that products, processes, or systems meet specified requirements and function as intended. Their responsibilities often include executing test protocols, collecting and analyzing data, documenting results, and supporting the development of validation documentation. Interns work under the supervision of experienced engineers and may be involved in activities like equipment qualification, process validation, and compliance checks, especially in regulated industries such as pharmaceuticals or manufacturing. This role provides practical experience with industry standards and regulatory guidelines.

What are some typical projects or responsibilities a validation engineer intern can expect during their internship?

As a Validation Engineer Intern, you can expect to participate in tasks such as developing and executing test protocols, collecting and analyzing test data, and documenting results to ensure systems, products, or processes meet regulatory and quality standards. Interns often work closely with senior engineers and cross-functional teams, supporting ongoing validation projects and troubleshooting issues as they arise. This hands-on experience helps you build practical skills in validation techniques, gain exposure to industry regulations, and better understand the workflow of a quality assurance or engineering team.

What is the difference between Validation Engineer Intern vs Validation Engineer?

AspectValidation Engineer InternValidation Engineer
Required CredentialsTypically pursuing or recently completed a degree in engineering, life sciences, or related fieldsBachelor's or master's degree in engineering, life sciences, or related disciplines; professional certifications are common
Work EnvironmentInternship setting, often in manufacturing, pharmaceutical, or medical device industriesFull-time role in similar industries, with increased responsibilities
Employer & Industry UsageUsed in pharmaceutical, biotech, and medical device companies for training and entry-level rolesFull professional roles in the same industries, focusing on validation processes

The Validation Engineer Intern is an entry-level position designed for students or recent graduates gaining practical experience. In contrast, a Validation Engineer is a full-time professional responsible for executing validation protocols, ensuring compliance, and maintaining quality standards. Interns typically work under supervision, while Validation Engineers operate independently with more complex tasks.

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

To excel as a Validation Engineer Intern, you typically need a background in engineering or a related technical field, along with a solid understanding of validation principles and quality standards. Familiarity with data analysis tools, validation protocols (IQ/OQ/PQ), and industry-specific software such as statistical analysis programs is often required. Strong attention to detail, analytical thinking, and effective communication skills help interns collaborate with teams and document results accurately. These competencies are crucial to ensure products and processes meet regulatory requirements and perform reliably in real-world applications.

What are the most commonly searched types of Validation Engineer jobs in Utah?

The most popular types of Validation Engineer jobs in Utah are:

What are popular job titles related to Validation Engineer Intern jobs in Utah?

For Validation Engineer Intern jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Validation Engineer Intern jobs in Utah look for?

The top searched job categories for Validation Engineer Intern jobs in Utah are:

What cities in Utah are hiring for Validation Engineer Intern jobs?

Cities in Utah with the most Validation Engineer Intern job openings:

Validation Engineer Intern jobs near you
Infographic showing various Validation Engineer Intern job openings in Utah as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Internship - Machine Learning Engineer

Smule

Salt Lake City, UT • On-site

$110 - $150/hr

Other

Re-posted 14 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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