2026 Intern - Data Scientist

Adobe · Enterprise · San Jose, CA

Internship role focused on building and implementing evaluation frameworks for AI Assistant quality, including automated pipelines using LLM-as-a-judge and classical ML models, and analyzing user interaction data to understand AI performance and failure modes. The role involves working with AI-powered product assistants within Adobe Experience Platform.

What you'd actually do

  1. Build and implement evaluation frameworks to measure AI Assistant quality across Quality metrics
  2. Build automated evaluation pipelines using LLM-as-a-judge systems and classical ML models
  3. Analyze complex user interaction data to identify patterns in AI Assistant performance and failure modes
  4. Extract and analyze user conversation data to understand customer journeys with AI assistants

Skills

Required

  • SQL
  • R/Python
  • statistical modeling
  • machine learning
  • data mining concepts
  • hypothesis testing
  • time series forecasting
  • linear and logistic regression
  • random forests

Nice to have

  • Statistics
  • Mathematics
  • Engineering

What the JD emphasized

  • AI quality measurement
  • evaluation systems
  • AI Assistant quality
  • automated evaluation pipelines
  • LLM-as-a-judge systems
  • AI Assistant performance
  • failure modes
  • customer journeys with AI assistants

Other signals

  • AI quality measurement
  • evaluation systems
  • user analytics
  • AI Assistant performance
  • LLM-as-a-judge