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AI Engineering Intern

Rubrik
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About Rubrik

Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes. For more information, please visit www.rubrik.com and follow @rubrikInc on X (formerly Twitter) and Rubrik on LinkedIn.

About Team & About Role

Rubrik’s Marketing Team is growing and we’re looking for individuals to join us at one of the most pivotal moments in our journey. Our team breaks boundaries and challenges the status quo, innovating along the way. We embrace a culture of opportunity and empowerment, allowing team members to take their best ideas and see them to fruition, while constantly exploring one-of-a-kind strategies. Come be part of a team bringing a fresh perspective to data security.  Join us and let’s be unstoppable, together.

As an AI Engineering Intern on the Marketing team, you would report to the Senior Manager of Marketing Operations and work on high-impact initiatives like Lead Scoring Optimization and Buying Committee Intelligence, gaining experience across machine learning, LLM integration, marketing technology (MarTech) orchestration, and data-driven pipeline strategy.

About Rubrik’s Internship Program

Rubrik offers interns an opportunity to make an impact from day one. Our interns work on challenging projects, where their contributions help solve real-world problems related to personal privacy, business continuity, and digital safety. Interns learn from the best in the industry, building connections with senior team members who support their development through 1:1 mentorship. Alongside the meaningful work, interns are fully immersed in Rubrik's inclusive community through social events, networking opportunities, professional development workshops, and volunteering events. 

During the internship, you’ll have access to: 

  • Meaningful projects: the opportunity to translate your education into hands-on professional experience through rigorous, yet rewarding work
  • Growth and development: take advantage of extensive growth opportunities through mentoring, job shadowing, workshops, lunch n’ learns, and hands-on project work that supports both your personal and professional development.
  • A dedicated manager & mentor: a team that will provide you with guidance and support regularly
  • Intern events: the opportunity to participate in networking events, volunteering opportunities, and social events
  • Other perks: Access to free mental health services, lunch stipend, optional 401K benefits, company-wide intern presentations, intern swag, and more!

In the past year, Rubrik’s internship program has been recognized as a Top 100 Internship Program and a Campus Forward Award Winner. 

What we do matters. Join us and unleash your potential!

What You’ll Do

We're looking for curious interns who want to be entrusted with real responsibility and who embrace the opportunity to make a meaningful impact. 

  • Leads Scoring Optimization: Use machine learning and LLM tools to generate a predictive lead scoring model to help Sales prioritize high-value leads.
  • Buying Committee Intelligence: Architect the automated orchestration of identifying and mapping "hidden" committees the moment a signal is detected.
  • AI "Power Stack" Development: Build systems to assemble stakeholder committees (CFOs, CISOs, etc.) in seconds, replacing manual research processes.
  • Pipeline Generation Support: Leverage AI tactics to drive complex insights that directly support global Sales and Marketing initiatives.
  • Cross-Functional Collaboration: Partner with Marketing Operations and Sales teams to integrate AI-driven intelligence into the core business workflow.

Qualifications & Experience You’ll Need

  • Degree: Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field.
  • Graduation: December 2026 or Spring 2027.
  • Technical Skills:
    • Demonstrated experience coding in industry-standard languages such as Python, Java, or Go.
    • Strong interest or experience in Machine Learning (ML) and Large Language Models (LLMs).
    • Familiarity with algorithms, data structures, and core computer science concepts.
  • Proactive team player who is not afraid to drive towards finding better solutions for complex problems.
  • An analytical mindset with the ability to translate data into actionable business insights.