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AI/ML Graduate Engineering Intern

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Sigma Computing

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Location:
United States , San Francisco

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Category:
IT - Software Development

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Contract Type:
Not provided

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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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