Summer Intern- AI Application Development

Overview

You'll support the team in building and iterating AI-powered platform features, from data pipeline work to ML algorithm research and engineering deployment.

This is a full-time summer 2026 internship (5+ months). Strong performers will be considered for a return offer.

Responsibilities

● Develop and iterate AI features on the big data platform to improve intelligent analytics capabilities

● Work with large-scale business data; participate in data cleaning, transformation, and feature extraction

● Research, debug, and optimize ML algorithms (classification, regression, clustering, recommendation, etc.)

● Support proof-of-concept development and participate in team technical discussions

● Stay current with trends in big data and AI frameworks; apply new techniques to real work

Qualifications

● Bachelor's degree or above in CS, Big Data, AI, Statistics, Mathematics, or a related field

● Familiarity with big data frameworks such as Hadoop, Spark, or Flink

● Proficiency in Python or Java; able to develop and debug code independently

● Solid ML foundations; familiarity with common algorithms (Decision Trees, Random Forest, SVM, Logistic Regression, K-Means, etc.)

● Familiarity with AI application development concepts, including RAG stacks (vector databases, LangChain, etc.)

Bonus Points

● Prior internship or project experience in big data or AI application development

● Comfortable using AI tools to enhance development productivity