Salesforce
AI Labs Rotational Fellowship, Emerging Talent
$114K–$147K
California - San Francisco +2 · Office - Flexible · Full-time · Posted Oct 16, 2026
- Location
- California - San Francisco
Washington - Seattle
New York - New York - Experience
- Practical coding experience through academic projects, research, internships, professional work, or independent projects; up to 2 years of relevant internship or professional experience is preferred.
- Education
- 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.
About the job
Completes a 24-month, four-rotation fellowship building, deploying, and shaping AI products and enterprise solutions at Salesforce.
What you'll do
- Design, prototype, and deploy AI-powered applications, agents, and enterprise solutions.
- Collaborate with AI teams and enterprise customers to customize and deliver solutions for real-world use cases.
- Own development from concept and experimentation through production, and translate customer insights into product improvements.
What they ask for
- Currently pursuing or 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; practical software development experience.
- 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.
Nice to have
- Portfolio evidence of building, deploying, or open-sourcing software or AI applications.
- Exposure to cloud infrastructure, Spark, SQL, or MLOps pipelines; up to 2 years of relevant internship or professional experience is also noted.
Pay
$114,400 - $136,000 annually (base salary); $137,800 - $147,000 annually (base salary)
Tools
Python, Spark, SQL, MLOps
AI focus
Builds and deploys AI-powered products and enterprise solutions, including AI agents, process generation, and conversational AI; rotations span product engineering, product management, customer delivery, and enterprise transformation.
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