Data & AI Innovation Intern

Nasdaq’s Internship Program is a 10-week summer experience designed to give students real exposure to how global markets and technology come together. Our interns work on meaningful projects alongside Nasdaq teams, gaining hands-on skills that make an impact on the business.

We believe the best way to learn is by doing — that’s why you’ll be paired with a mentor, connected with senior leaders, and included in professional development sessions. You’ll also join a diverse global intern community, sharing experiences and building networks that last beyond the program.

Our goal is to provide a supportive, engaging, and fun environment where your work feels valued and your growth comes first. Check out our Nasdaq Internship Program page to learn more and hear directly from past interns about their journeys.

We are seeking a Data & AI Intern to help design and build end‑to‑end AI microservice and agentic applications. This role offers hands‑on experience working across the full AI stack—data engineering, machine learning, generative AI, cloud platforms, APIs, and modern web interfaces. You will collaborate with data scientists, engineers, and product teams to develop scalable, production‑grade AI solutions using Databricks, AWS, Python, and modern web technologies.

What You’ll Do

• Build AI‑powered microservices and agentic applications using Python and modern ML/GenAI frameworks

• Develop and deploy data and ML workflows using Databricks and AWS

• Design and integrate RESTful and event‑driven APIs for AI services

• Apply machine learning and generative AI techniques to real business problems

• Develop lightweight web UIs and dashboards using React, Node.js, and related technologies

• Implement data pipelines, experimentation, model evaluation, and monitoring

• Collaborate in agile teams to translate ideas into fully functional, production‑ready solutions

• Document designs, experiments, and technical decisions

What You’ll Learn

• End‑to‑end AI system design—from data ingestion to user experience

• Best practices for scalable, secure, and maintainable AI microservices

• Real‑world application of agentic AI patterns, LLM orchestration, and automation

This position will be located in Washington DC and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.