Machine Learning Ops Intern

Posted on 9/4/2025

MasterControl

MasterControl

Compensation Overview

$30 - $50/hr

Salt Lake City, UT, USA

Hybrid

Hybrid position.

About MasterControl:

MasterControl Inc. is a leading provider of cloud-based quality and compliance software for life sciences and other regulated industries. Our mission is the same as that of our customers to bring life-changing products to more people sooner. The MasterControl Platform helps organizations digitize, automate and connect quality and compliance processes across the regulated product development life cycle. Over 1,000 companies worldwide rely on MasterControl solutions to achieve new levels of operational excellence across product development, clinical trials, regulatory affairs, quality management, supply chain, manufacturing and postmarket surveillance. For more information, visit www.mastercontrol.com.

Summary
We are looking for a talented Machine Learning Ops Intern to join MLOps team and 
contribute to various projects focused on applying machine learning to solve real-world problems. This internship offers hands-on experience in developing, testing, and deploying machine learning models, as well as exposure to best practices in the industry

Key Responsibilities:
•    Assist in setting up CI/CD pipelines for ML workflows using GitHub Actions, Argo Workflows, or similar tools
•    Work with the team to containerize and deploy ML models and notebooks to Kubernetes-based environments
•    Help monitor and debug running ML workloads using tools like Prometheus, Grafana, or OpenTelemetry
•    Contribute to infrastructure-as-code (IaC) setups with Terraform, Helm, and Kustomize
•    Collaborate with ML engineers and data scientists to improve training and inference pipelines
•    Support GPU-enabled model training and inference jobs in cloud (e.g., AWS EKS)
•    Document deployment workflows, system architecture, and experiment tracking processes

Qualifications:
•    Currently pursuing a degree in Computer Science, Data Engineering, AI/ML, or a related technical field
•    Strong Python skills, with interest in infrastructure, automation, or ML deployment
•    Exposure to machine learning libraries (e.g., PyTorch, TensorFlow, Hugging Face)
•    Familiar with Linux command line, Git, Docker, and cloud platforms (AWS preferred)
•    Bonus: any experience with Kubernetes, CI/CD tools, or GPU workloads
•    Strong desire to learn modern MLOps tools and practices
•    Clear communicator, self-driven, and collaborative team player

Why Join Us:
•    Work on real infrastructure problems powering production-grade AI systems
•    Get mentorship from senior MLOps engineers, ML Engineers and platform architects
•    Learn how to bridge ML and DevOps in a fast-paced, high-impact environment
•    Opportunity to convert to full-time based on performance and graduation timeline

Why Work Here?

#WhyWorkAnywhereElse?

MasterControl is a place where Exceptional Teams come together to do their best work. In fact, hiring Exceptional Teams is a core value of ours. MasterControl employees are surrounded by intelligent, motivated, and collaborative individuals. We like to call it #TheBestTeamOnThePlanet.

We work hard to develop and challenge our employees' skillsets, recognize their contributions, encourage professional development, and offer a one-of-a-kind culture. This is why we say #WhyWorkAnywhereElse?

MasterControl could be your next (and last) career move!

Here are some of the benefits MasterControl employees enjoy:

  • Competitive compensation
  • Schedule flexibility
  • Fitness clubs (you get paid to have fun and be active!)
  • Company parties and employee recognition programs
  • Wellness programs (free Fitbit, gym membership and athletic shoe reimbursements, etc.)
  • Onsite physician and massage therapist
  • Innovation center and gaming rooms at the office
  • Much, much more!

Applicants must be currently authorized to work in the United States on a full-time basis.

The US base hourly range for this  position is $30.00 - $50.00. Our salary ranges are determined by role, level, education and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

MasterControl is an Equal Opportunity Employer. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact [email protected] or call (801) 942-4000 and ask to speak with a member of Human Resources.
Equal Opportunity Employer, including disability and protected veteran status