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About the Role

As an AI/ML PhD Intern at Sigma, you will 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 thousands of enterprises that run on Sigma. We're looking for PhD students passionate about the intersection of AI, business, and data.

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.

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.

Skills

Agents that can plan, reason, and use tools
Fine-tuning or training foundation models (language or multimodal) for novel domains
Cloud infrastructure (AWS, GCP, Azure)
Working in a fast-moving startup or high-growth environment

Location

SF
NYC
London
Sydney

Work Type

In-office

Experience Level

PhD Intern

Education Level

Salary/Compensations

$80-$90 an hour

Benefits

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

About the Company

Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse.
Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance.
Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale.
Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
Sigma announced its $80M in Series E financing in May 2026.
The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN.
This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.

Equal Opportunity

Sigma 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, veteran, or any other protected status.
We look forward to learning how your experience can enable all of us to grow.