AI Labs Summer Internship - Emerging Talent

Salesforce AI Labs is seeking exceptional emerging AI and computer science talent for a highly selective, 12-week summer internship designed to develop the next generation of AI builders. Interns spend 12 weeks embedded in one of four disciplines, tackling real technical, product, or customer challenges, building with frontier AI technologies, and contributing to solutions at enterprise scale. ## Disciplines - Build (Product Engineering): Design, build, and ship AI-powered products, developing technical expertise in production-scale engineering. - Shape (Product Management): Translate customer needs into product strategy, define priorities, and help shape the next generation of AI products. - Deliver (FDE / Builders): Work with teams developing and deploying AI solutions that solve real-world customer challenges. - Transform (DET / Customer Zero): Reimagine enterprise workflows and operations, leveraging AI to drive transformation at scale. ## What You'll Actually Be Doing - Build and Deliver AI Solutions: Spend 12 weeks embedded in one AI Labs discipline, contributing to meaningful projects. - Work with Frontier AI: Gain hands-on experience with AI-native development tools, AI agents, and emerging technologies. - Collaborate Across Disciplines: Partner with interns from other disciplines on a cross-functional capstone project. - Own Meaningful Work: Take ownership of assigned projects, from problem definition and experimentation through development and delivery. - Present Your Work: Showcase your team's capstone project at an in-person Demo Day to an executive panel. - Learn from AI Leaders: Engage with engineering, product, FDE, and DET teams through mentorship, workshops, and cohort experiences.This internship is a feeder into the 24-month AI Labs Rotational Fellowship. Interns who demonstrate strong performance and potential may be considered for full-time opportunities in the Fellowship following graduation. ## You're Our Person If - Computer Science & Engineering Fundamentals: 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. - Practical Coding Experience: Experience developing software through academic projects, research, internships, or independent technical projects. - Programming: Proficiency in Python and experience building software, AI, or machine learning applications. - AI & ML Foundations: Understanding of core AI/ML concepts and experience using modern AI development tools. - Builder Mindset: Demonstrated curiosity, high ownership, and ability to solve complex problems in fast-moving, ambiguous environments. - Collaboration & Communication: Strong written and verbal communication skills, with the ability to collaborate across disciplines and explain technical concepts clearly. ## Even Better If - Proven Build History: Portfolio evidence of building, deploying, or open-sourcing software or AI applications. - Applied AI Experience: Previous internship, research, or project experience in software engineering, data engineering, machine learning, product development, or solutions architecture. - Cross-Functional Experience: Experience working across engineering, product, design, or customer-facing teams. - Cloud & Data Pipelines: Exposure to cloud infrastructure, scalable data processing frameworks (Spark, SQL), or MLOps pipelines.