AI/ML Graduate Engineering Intern, Sigma Computing

• We’re seeking current graduate degree students that are excited about bringing their knowledge and passion for AI/ML to our product and that are excited about launching their careers with our AI team
• Applicants must be currently enrolled in a university graduate degree program in the U.S with a graduation date of December 2026 or later
• Able to intern in person in our San Francisco office from May/June 2026 through August or early September 2026
• You must be legally authorized to work in the US during the Summer 2026 program
• Current Graduate student studying AI/ML or CS with a focus in AI at a U.S. accredited university
• Solid knowledge of machine learning, deep learning, and applied AI
• Baseline understanding of building and deploying production-grade AI/ML systems
• Knowledge of the full ML lifecycle: data curation, training, deployment, monitoring
• Experience adapting or training foundation models (language or multimodal) for novel domains a plus
• A track record of building —whether it’s recommendations, search, machine translation, or something equally complex that demonstrates your domain knowledge

Desirable

• As an AI/ML Graduate Engineering Intern, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future.
• Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma
• Work alongside and learn from our growing AI/ML team
• Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities and support the usage of AI in our product and internal development processes
• Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
• Contribute to the development of an AI/ML infrastructure that powers both internal tooling and customer-facing features
• Tackle novel UX problems at the intersection of AI, BI, and apps