AI Labs Rotational Fellowship, Emerging Talent

Salesforce•Seattle, WA

2d•$114,400 - $147,000

About The Position

Salesforce AI Labs is hiring emerging AI and computer science talent for a selective, 24-month rotational fellowship. Fellows complete four six-month rotations focused on different dimensions of the AI lifecycle: Build (Product Engineering), Shape (Product Management), Deliver (FDE / Builders), and Transform (DET / Customer Zero). They work with experienced researchers, engineers, and technical leaders, using AI-native development tools and large-scale compute resources to address technical and customer challenges and ship solutions at enterprise scale. Upon successful completion, Fellows transition to high-impact AI teams across Salesforce. The role involves designing, prototyping, and deploying AI-powered applications, agents, and enterprise solutions; collaborating with teams developing AI agents, process generation, and conversational AI; partnering with field, product, and engineering teams on customer use cases; and owning development from experimentation through production deployment. Fellows also use customer insights and technical discoveries to inform product improvements and new AI capabilities.

Requirements

Currently pursuing or have completed a bachelor’s or master’s degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, or a related technical discipline.
Strong foundation in data structures, algorithms, software engineering, and technical problem solving.
Experience developing software through academic projects, research, internships, professional work, 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 for experimentation, development, and problem solving.
Demonstrated curiosity, high ownership, and ability to solve complex problems in fast-moving, ambiguous environments.
Strong written and verbal communication skills, including the ability to explain technical concepts to enterprise stakeholders and external clients.

Nice To Haves

Portfolio evidence of building, deploying, or open-sourcing software or AI applications through projects, research, hackathons, internships, or public repositories.
Up to two years of internship or professional experience in software engineering, data engineering, machine learning, or solutions architecture, including experience with production environments and real-world datasets.
Exposure to cloud infrastructure, scalable data processing frameworks such as Spark or SQL, or MLOps pipelines for model deployment.

Responsibilities

Design, prototype, and deploy AI-powered applications, agents, and enterprise solutions that address real-world challenges.
Collaborate with teams developing AI capabilities, including AI agents, process generation, and conversational AI.
Work with field, product, and engineering teams to build, customize, and deploy solutions for enterprise customers.
Own technical work from concept and experimentation through development and production deployment.
Translate customer insights and technical discoveries into product improvements, new capabilities, and AI experiences.
Rotate through product engineering, product management, customer-facing solution delivery, and enterprise transformation work.