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 intended to develop future AI builders. Fellows complete four six-month rotations and take on technical and customer challenges, building with frontier AI technologies and shipping solutions into production at enterprise scale. They work with researchers, engineers, and technical leaders and have access to AI-native development tools and large-scale compute resources. The four rotations cover product engineering (Build), product management (Shape), customer-facing solution development and deployment (Deliver), and enterprise workflow transformation (Transform). Fellows gain exposure to varied AI teams, technologies, and problems while developing technical depth, adaptability, and a product mindset. After successfully completing the fellowship, Fellows transition into high-impact AI teams across Salesforce.

Requirements

Strong foundation in data structures, algorithms, software engineering, and technical problem solving.
Proficiency in Python and experience building software, AI, or machine learning applications.
Experience with and understanding of modern AI tools for development, experimentation, 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 clearly 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.
Partner with field, product, and engineering teams to build, customize, and deploy solutions for enterprise customer use cases.
Own development from concept through experimentation and implementation to production deployment.
Translate customer insights and technical discoveries into product improvements, new capabilities, and AI experiences.
Across rotations, build and ship products, shape product strategy and priorities, deliver customer solutions, and use AI to transform enterprise workflows and operations.