Drimva

Salesforce

AI Labs Summer Internship, Emerging Talent

California - San Francisco +1 · Office - Flexible · Internship · Posted Oct 30, 2026

Location
California - San Francisco
Washington - Seattle
Experience
No specific number of years stated.
Education
Currently pursuing a bachelor's or master's degree in a listed or related technical discipline; graduation between December 2027 and June 2028.

About the job

A 12-week summer internship in which interns contribute to AI projects in one of four disciplines and collaborate on a cross-functional capstone project.

What you'll do

  • Build or contribute to AI solutions addressing technical, product, or customer challenges in an assigned discipline.
  • Collaborate with interns across disciplines on a capstone project and present it at Demo Day.
  • Take ownership of project work from problem definition and experimentation through development and delivery.

What they ask for

  • Currently pursuing a bachelor's or master's degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, or a related technical discipline, graduating between December 2027 and June 2028.
  • Strong foundation in data structures, algorithms, software engineering, and technical problem-solving.
  • Experience developing software through academic projects, research, internships, or independent projects.
  • Proficiency in Python and experience building software, AI, or machine learning applications; understanding of core AI/ML concepts and modern AI development tools.

Nice to have

  • Portfolio evidence of building, deploying, or open-sourcing software or AI applications.
  • Exposure to cloud infrastructure, Spark, SQL, or MLOps pipelines for model deployment.

Pay

$53 - $57 per hour (base salary)

Tools

Python, Spark, SQL

AI focus

Build and deliver AI solutions using AI agents, AI-native development tools, and emerging technologies; collaborate on an AI capstone project. Salesforce also uses AI tools to assist recruiters in resume and qualification assessment.

Model-written summary · the original posting is authoritative

First seen Oct 31, 2026 · Last verified Nov 4, 2026 (UTC)