AI Labs Summer Internship, Emerging Talent

Salesforce•Seattle, WA

10d•$53 - $57

About The Position

Salesforce AI Labs is offering a highly selective, 12-week summer internship for emerging AI and computer science talent. 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. Interns work with researchers, engineers, product managers, and technical leaders and have opportunities to take ownership of projects from problem definition and experimentation through development and delivery. Interns also collaborate across disciplines on a cross-functional AI capstone project, culminating in an in-person Demo Day presentation to an executive panel. The program includes mentorship, workshops, and cohort experiences, and is designed as a feeder into Salesforce's 24-month AI Labs Rotational Fellowship. Interns demonstrating strong performance and potential may be considered for full-time Fellowship opportunities following 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.
Expected graduation 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.
Curiosity, high 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 addressing technical, product, or customer challenges within one AI Labs discipline.
Use AI-native development tools, AI agents, and emerging technologies to support experimentation, development, and problem-solving.
Collaborate with interns across Build, Shape, Deliver, and Transform on a cross-functional capstone project.
Take ownership of assigned projects from problem definition and experimentation through development and delivery, with guidance from AI Labs leaders.
Present the capstone team's solution, approach, and impact at an in-person Demo Day to an executive panel.
Engage with engineering, product, FDE, and DET teams through mentorship, workshops, and cohort experiences.