AI/ML PhD Intern (Summer 2026) at Sigma Computing

San Francisco, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, Data AnalyticsIndustries

Requirements

Current PhD student studying AI/ML at a U.S. accredited university
Deep understanding of machine learning, including deep learning algorithms, model architectures and optimization
Baseline understanding of building and deploying production-grade AI/ML systems
Knowledge of the full ML lifecycle: data curation, training, deployment, monitoring
Desire to bridge research and application—bringing new AI ideas from concept to impactful deployment

Responsibilities

Conduct original AI/ML research in search, recommendations, natural language processing, agentic workflows and more
Prototype and productionize AI systems that feel intuitive but do a lot under the hood
Tackle novel UX problems at the intersection of AI, analytics, and data apps
Contribute to the development of scalable AI/ML infrastructure for experimentation, training, and evaluation of large-scale models

Skills

Key technologies and capabilities for this role

AIMLDeep LearningNLPSearchRecommendationsAgentic WorkflowsModel TrainingModel DeploymentML LifecycleFoundation ModelsCloud Infrastructure

Questions & Answers

Common questions about this position

What is the hourly rate for the AI/ML PhD Intern position?

The hourly rate range for this position is $80-$90 an hour, and compensation may vary based on qualifications, skills, competencies, and experience.

Is this AI/ML PhD Intern role remote or on-site?

This information is not specified in the job description.

What skills and qualifications are required for the AI/ML PhD Intern role?

Candidates must be current PhD students studying AI/ML at a U.S. accredited university, with deep understanding of machine learning including deep learning algorithms, model architectures and optimization, baseline understanding of building and deploying production-grade AI/ML systems, and knowledge of the full ML lifecycle.

What is the team environment like at Sigma Computing for this internship?

You'll join a growing team focused on building the AI foundation that will power Sigma for the future, in a fast-moving startup or high-growth environment.

What makes a strong candidate for the AI/ML PhD Intern position?

Strong candidates are current PhD students in AI/ML with deep ML knowledge and production experience; bonus for building agents, fine-tuning foundation models, cloud infrastructure skills, and experience in fast-moving environments.

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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