AI Data Management Intern 2026
@ IBM

San Jose, CA
$70,000
On Site
Intern
Posted 21 days ago

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Job Details

Introduction

IBM Research is at the forefront of technology, shaping the future with bold and innovative projects. As an AI Data Management Intern 2026 at IBM, you will join a team that invents what's next in computing. You will work on building the next generation of autonomous data management systems using foundation models and AI agents.

Your Role And Responsibilities

You will help develop intelligent data systems by:

  • Utilizing large language models (LLMs) for code generation in SQL/NoSQL and Python.
  • Integrating knowledge graphs and multi-modal data to enhance data discovery.
  • Improving AI model inference performance and efficiency.
  • Creating generative AI tools for DataOps.

Who Should Apply

This internship suits students pursuing an undergraduate or master’s degree in computer science or related fields. Ideal candidates are excited about AI, agentic AI, data systems, and software engineering and are comfortable with programming (Python, SQL, or similar languages).

Technical Expertise

Candidates should have familiarity with large language models and may benefit from experience with knowledge graphs, SQL, RAG, agentic frameworks, reinforcement learning, AI planning, and prompt optimization.

Key skills/competency

  • AI
  • Data Management
  • LLMs
  • Python
  • SQL
  • Knowledge Graphs
  • DataOps
  • Reinforcement Learning
  • Agentic AI
  • Prompt Optimization

How to Get Hired at IBM

🎯 Tips for Getting Hired

  • Research IBM's culture: Study their research, projects, and values.
  • Customize your resume: Highlight AI, data management, and programming skills.
  • Showcase projects: Detail relevant academic or side projects.
  • Prepare for technical interviews: Review data systems and algorithm questions.

📝 Interview Preparation Advice

Technical Preparation

Review Python coding challenges.
Study SQL query optimization techniques.
Practice AI model inference optimization.
Familiarize with reinforcement learning basics.

Behavioral Questions

Describe a challenging project experience.
Explain teamwork in a technical environment.
Discuss how you handle tight deadlines.
Share a time you solved complex problems.

Frequently Asked Questions