At Sigma, we’re not just adding AI—we’re building the future of how people work with data, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast.
Requirements
- 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
Responsibilities
- 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
Other
- Current student: Applicants must be currently enrolled in a university graduate degree program in the U.S with a graduation date of December 2026 or later
- Authorization: You must be legally authorized to work in the US during the Summer 2026 program
- Location: Our internships are in-person and located within San Francisco, CA. Relocation assistance will be provided for students who will need to relocate for the Summer in the form of a relocation bonus
- Current Graduate student studying AI/ML or CS with a focus in AI at a U.S. accredited university
- Visa sponsorship is not available for our internship positions
