AI/ML PhD Intern (Summer 2027)

At Sigma, the AI/ML PhD Intern will join a growing team focused on building the AI foundation that will power Sigma's platform. The role involves working on AI/ML research and applying AI to reshape how people build in Sigma, discover insights, and make decisions. Candidates should be PhD students passionate about the intersection of AI, business, and data. The role is in-office in the San Francisco office.

Responsibilities

Conduct original AI/ML research in search, recommendations, natural language processing, agentic workflows and more; Prototype and productionize AI systems; 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