AI/ML PhD Intern (Summer 2027)

At Sigma, we're building the future of how people work with data. Our platform lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present data in workbooks, and build data apps and workflows. As an AI/ML PhD 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 looking for PhD students that are 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

Nice to have

Built agents that can plan, reason, and use tools; Fine-tuned or trained foundation models (language or multimodal) for novel domains; Knowledge of cloud infrastructure (AWS, GCP, Azure); Experience working in a fast-moving startup or high-growth environment

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