AI/ML Graduate Engineering Intern Jobs

Sigma Computing

Location:
United States, San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

70.00 - 90.00 USD / Hour

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Job Description:

At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. 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.

Job Responsibility:

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

Requirements:

Current student 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
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
A track record of building —whether it’s recommendations, search, machine translation, or something equally complex that demonstrates your domain knowledge

Nice to have:

Experience adapting or training foundation models (language or multimodal) for novel domains
You've built agents that can plan, reason, and use tools
You know your way around cloud infrastructure (AWS, GCP, Azure)
You’ve worked in a fast-moving startup or high-growth environment

What we offer:

Relocation assistance will be provided for students who will need to relocate for the Summer in the form of a relocation bonus
Equity
Generous health benefits
Flexible time off policy
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office

Additional Information:

Job Posted:
December 12, 2025

Work Type:

On-site work

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AI/ML Graduate Engineering Intern