AI Labs Summer Internship, Emerging Talent

Salesforce•San Francisco, CA

About The Position

Salesforce AI Labs is hiring emerging AI and computer science talent for a selective 12-week summer internship. Interns are embedded in one of four disciplines—Build (Product Engineering), Shape (Product Management), Deliver (FDE / Builders), or Transform (DET / Customer Zero)—and contribute to technical, product, or customer challenges using frontier AI technologies. They work alongside researchers, engineers, product managers, and technical leaders, with access to AI-native development tools and meaningful project ownership. Interns also collaborate across disciplines on a cross-functional capstone project, bringing engineering, product strategy, customer solutions, and enterprise transformation perspectives to a shared AI challenge. The cohort presents its solution at an in-person Demo Day. The internship is designed as a feeder into the 24-month AI Labs Rotational Fellowship, and high-performing interns may be considered for full-time Fellowship opportunities after graduation.

Requirements

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 technical projects.
Proficiency in Python and experience building software, AI, or machine learning applications.
Understanding of core AI/ML concepts and experience using modern AI development tools.
Demonstrated curiosity, ownership, and ability to solve complex problems in fast-moving, ambiguous environments.
Strong written and verbal communication skills, including the ability to collaborate across disciplines and explain technical concepts to technical and non-technical audiences.

Nice To Haves

Portfolio evidence of building, deploying, or open-sourcing software or AI applications through projects, research, hackathons, or public repositories.
Previous internship, research, or project experience in software engineering, data engineering, machine learning, product development, or solutions architecture.
Experience working across engineering, product, design, or customer-facing teams to solve complex problems.
Exposure to cloud infrastructure, scalable data processing frameworks such as Spark or SQL, or MLOps pipelines for model deployment.

Responsibilities

Contribute to meaningful projects that address technical, product, or customer challenges within one AI Labs discipline.
Use AI-native development tools, AI agents, and emerging technologies for experimentation, development, and problem-solving.
Collaborate with interns across disciplines on a cross-functional AI capstone project.
Own assigned projects from problem definition and experimentation through development and delivery, with guidance from AI Labs leaders.
Present the capstone project, solution, approach, and impact at an in-person Demo Day to an executive panel.
Participate in mentorship, workshops, and cohort experiences with engineering, product, FDE, and DET teams.