AI/ML Graduate Engineering Intern (Summer 2026) at Sigma Computing

San Francisco, California, United States

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Not SpecifiedCompensation

Internship, Entry Level & New GradExperience Level

InternshipJob Type

NoVisa

Technology, Data AnalyticsIndustries

Requirements

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 the 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 (visa sponsorship not available, but student visa holders with work authorization welcome)
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

Responsibilities

Work alongside and learn from the 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 the 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

Skills

Machine Learning

Python

Prototyping

Data Processing

Sigma Computing

Cloud-based data analytics platform for businesses

About Sigma Computing

Sigma Computing offers a cloud-based data analytics platform that enables businesses to analyze large volumes of data through a user-friendly, spreadsheet-like interface. Users can connect to their cloud data warehouse and access advanced features such as data collection, territory management, and revenue planning without needing coding skills. The platform is scalable, allowing for the analysis of billions of rows of data, and promotes self-service capabilities for faster insights. Recently, Sigma introduced AI features like data classification and natural language processing to enhance data analysis and support Enterprise AI initiatives.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$550.9MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Competitive pay - Looking for a great salary and solid stock options? You’ve come to the right place.

Flexible schedule - Do the work you need to get done in the time you have to get it done

Amazing benefits - Medical, dental, vision, 401k, FSA, commuter… we’ve got you covered. Literally.

Flexible vacation - At Sigma, we work to live, not live to work. So go on, book that dream vacation.

Health & wellness - A healthy body supports a healthy mind, so we partner with Crunch Fitness and CorePower.

Family-friendly - From flexible scheduling to parental leave to kids’ birthdays off, we support Sigma families.

Risks

Competition from Tableau and Power BI could threaten Sigma's market share.

Reliance on platforms like Snowflake may impact service delivery if disruptions occur.

High valuation pressures Sigma to deliver rapid growth, risking strategic misalignment.

Differentiation

Sigma offers a spreadsheet-like interface for non-technical users to analyze data.

The platform integrates with major data warehouses like Snowflake and BigQuery.

Sigma's AI features include natural language processing and sentiment analysis.

Upsides

Sigma raised $200M in Series D funding, valuing it at $1.5 billion.

The platform's scalability allows analysis of billions of data rows efficiently.

Sigma's partnerships enhance data accessibility and integration for users.

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