1

Intern Distillery Jobs in Utah (NOW HIRING)

Intern Distillery information

See Utah salary details

$8

$15

$22

How much do intern distillery jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for intern distillery in Utah is $15.51, according to ZipRecruiter salary data. Most workers in this role earn between $13.12 and $17.50 per hour, depending on experience, location, and employer.

What does an intern at a distillery do?

An intern at a distillery typically assists with various aspects of spirit production, including fermentation, distillation, bottling, and quality control. They may also help with cleaning equipment, monitoring inventory, and learning about the overall operations of the distillery. The role is designed to provide hands-on experience in the spirits industry and offers valuable insight into the process of making whiskey, gin, vodka, or other distilled beverages. Interns often work closely with experienced distillers and may have opportunities to participate in product development or tasting panels.

What types of hands-on tasks and learning experiences can I expect as an intern at a distillery?

As a distillery intern, you can expect to be involved in a variety of hands-on tasks such as assisting with the fermentation process, monitoring distillation equipment, bottling spirits, and helping with quality control checks. You'll likely work closely with experienced distillers, learning about raw material selection, flavor development, and the science behind spirit production. Distilleries often encourage interns to engage in both production and packaging, providing a comprehensive understanding of the industry. This role offers a collaborative environment where you'll gain practical skills and insights into career paths within the spirits sector.

What are the key skills and qualifications needed to thrive as an intern at a distillery?

To thrive as an Intern at a Distillery, you need a foundational knowledge of food science, chemistry, or related fields, often supported by enrollment in or completion of a relevant degree program. Familiarity with laboratory equipment, quality control systems, and safety protocols is typically required. Strong attention to detail, willingness to learn, and effective teamwork are essential soft skills for this position. These competencies ensure safe, efficient production processes and support the distillery's commitment to quality and innovation.

What is the difference between Intern Distillery vs Distillery Technician?

AspectIntern Distillery
CredentialsTypically pursuing or holding a relevant degree (e.g., chemistry, fermentation, brewing)
Work EnvironmentEntry-level, educational, training-focused environment within a distillery
Employer & Industry UsageUsed in educational programs, internships, and entry-level training within the spirits industry
Job ResponsibilitiesAssisting with production, learning distillation processes, and supporting staff

In contrast, a Distillery Technician is a more experienced role requiring specific technical skills and possibly certifications. They handle operational tasks, maintain equipment, and oversee production processes. While Intern Distillery positions focus on learning and assisting, Distillery Technicians are responsible for ensuring efficient and safe production. Both roles are essential in the spirits industry but differ significantly in experience level and responsibilities.

What are the most commonly searched types of Distillery jobs in Utah? The most popular types of Distillery jobs in Utah are:
What are popular job titles related to Intern Distillery jobs in Utah? For Intern Distillery jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Intern Distillery jobs? Cities in Utah with the most Intern Distillery job openings:
Infographic showing various Intern Distillery job openings in Utah as of August 2026, with employment types broken down into 18% Internship, 1% As Needed, 38% Full Time, 30% Part Time, 1% Temporary, and 12% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $32,260 per year, or $15.5 per hour.

Internship - Machine Learning Engineer

Smule

Salt Lake City, UT • On-site

$110 - $150/hr

Other

Re-posted 8 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.

#J-18808-Ljbffr