AI Labs Rotational Fellowship, Emerging Talent

Salesforce•Seattle, WA

1d•$114,400 - $147,000

About The Position

Salesforce AI Labs is hiring exceptional emerging AI and computer science talent for a highly selective, 24-month rotational fellowship to develop the next generation of AI builders. Fellows complete four six-month rotations, working on technical and customer challenges, building with frontier AI technologies, and shipping solutions into production at enterprise scale. They collaborate with researchers, engineers, and technical leaders and have access to AI-native development tools and large-scale compute resources. Upon successful completion, Fellows transition into high-impact AI teams across Salesforce. The rotations cover four dimensions of the AI lifecycle: Build (product engineering), designing and shipping AI-powered products; Shape (product management), translating customer needs into product strategy; Deliver (FDE / Builders), developing and deploying AI solutions with customers; and Transform (DET / Customer Zero), using AI to reimagine enterprise workflows and operations. The fellowship is scheduled to begin July 6, 2027.

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, 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, with experience in 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 for real-world challenges.
Collaborate with teams developing AI capabilities, including AI agents, process generation, and conversational AI.
Work with field, product, and engineering teams and enterprise customers to build, customize, and deploy AI solutions.
Take ideas from concept through experimentation and development to production deployment, owning technical outcomes.
Translate customer insights and technical discoveries into product improvements, new capabilities, and AI experiences.
Participate in rotations across product engineering, product management, customer-facing AI solution delivery, and enterprise transformation.