
AI Labs Rotational Fellowship (Emerging Talent)
Salesforce
San Francisco, CA • 17m ago • Hybrid
Intern
Hybrid
114,400 - 136,000 USD/yr
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Quick Facts
- Role: AI Labs Rotational Fellowship (Emerging Talent)
- Duration: 24 months (four 6-month rotations)
- Focus: Building and shipping AI solutions across the full AI lifecycle
Description
Salesforce AI Labs is seeking emerging AI and computer science talent for a highly selective, 24-month rotational fellowship. Fellows complete four rotations where they tackle real technical and customer challenges, build with frontier AI technologies, and ship solutions into production at enterprise scale. The program develops AI builders through hands-on work spanning engineering, product, customer delivery, and enterprise transformation.
Responsibilities
- Design, prototype, and deploy AI-powered applications, agents, and enterprise solutions
- Collaborate with teams building AI capabilities such as AI agents, process generation, and conversational AI
- Work with enterprise customers to build, customize, and deploy AI solutions for real business use cases
- Own end-to-end development from concept and experimentation through production deployment
- Translate customer insights and technical discoveries into product improvements and new AI capabilities
Requirements
- Pursuing or completed a bachelor’s or master’s degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, or a related field
- Strong foundation in data structures, algorithms, software engineering, and technical problem solving
- Practical coding experience from academic projects, research, internships, professional work, or independent projects
- Proficiency in Python
- Understanding of core AI/ML concepts and experience using modern AI development tools
- Demonstrated curiosity, high ownership, and ability to solve complex problems in fast-moving, ambiguous environments
- Strong written and verbal communication skills
Benefits
- Mentorship and exposure to experienced researchers, engineers, and technical leaders
- Access to AI-native development tools and large-scale compute resources
- Transition into high-impact AI teams upon successful completion
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