Job Description

About Monster Energy:

Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the game-changers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become on along the way. We are much more than a brand here. We are a way of life, a mindset. Join us!

A Day in The Life:

The AI Solutions Intern will join the Application Development team for a full-time summer internship, focusing on the practical application of artificial intelligence and AI-powered tools to improve business processes. This role is ideal for a student nearing completion of their college degree or a recent graduate interested in applied AI rather than purely theoretical research. The intern will work closely with developers and business stakeholders to explore, prototype, and implement AI-enabled solutions that enhance efficiency, automation, and decision-making across the organization.

The Impact You'll Make:

• Assist in the development and evaluation of applied AI solutions that support business processes
• Leverage AI tools and platforms to improve workflows and productivity
• Support data preparation activities, including data review, cleaning, and basic analysis
• Collaborate with application developers to integrate AI capabilities into existing or new applications
• Develop scripts or prototypes, primarily using Python and other development languages
• Research emerging AI tools, frameworks, and best practices relevant to enterprise use cases
• Document technical approaches, findings, and recommendations for technical and non-technical audiences
• Participate in team meetings, design discussions, and reviews

Who You Are:

• Currently pursuing or recently completed a bachelor’s or master’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field
• Exposure to AI, machine learning, or data-driven concepts through coursework, projects, internships, or self-study
• Python experience preferred, but not required
• Familiarity with AI tolls, automation platforms, or analytics solutions is a plus
• Strong analytical and problem-solving skills
• Ability to apply technical concepts to real world business scenarios
• Strong written and verbal communication skills
• Ability to work effectively in a collaborative, team-based environment