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AI/ML Graduate Engineering Intern (Summer 2026)

San Francisco, CA

 

 

About the Role

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. 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.

Internship Program Qualifications:

  • 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
    • Able to intern in person in our San Francisco office from May/June 2026 through August or early September 2026
  • Authorization: 
    • You must be legally authorized to work in the US during the Summer 2026 program
    • Visa sponsorship is not available for our internship positions, but we welcome applicants on a student visa (with authorization to work in the U.S.) to apply
  • 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.

What You’ll Do

  • 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

What You Bring

  • 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

Bonus Points (or skills you’ll build here)

  • 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

Additional Job details

The base salary range for this position is $70-$90 per hour (San Francisco, CA)

Note: We have an in-office work environment in all our offices in SF, NYC, and London.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

About us:

Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required.

Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment.

Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.   

Come join us!

Benefits For Our Full-Time Employees:

  • Equity                                                                                                 
  • Generous health benefits
  • Flexible time off policy. Take the time off you need!
  • Paid bonding time for all new parents
  • Traditional and Roth 401k
  • Commuter and FSA benefits
  • Lunch Program
  • Dog friendly office

Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.

Note: We have an in-office work environment in all our offices in SF, NYC, and London.

 

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