AI/ML PhD Intern (Summer 2026) at Sigma in San Francisco, CA

Summary: Sigma Computing is a cloud analytics and business intelligence tool company that empowers business teams to explore data and make better decisions. They are seeking an AI/ML PhD Intern to conduct research and develop AI systems that enhance their platform's capabilities. 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 Required Qualifications: - 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 Preferred Qualifications: - You've built agents that can plan, reason, and use tools - You've fine-tuned or trained foundation models (language or multimodal) for novel domains - You know your way around cloud infrastructure (AWS, GCP, Azure) - You've worked in a fast-moving startup or high-growth environment Required Skills: Machine Learning, Deep Learning, AI/ML Systems Deployment Important Skills: ML Lifecycle Knowledge, Cloud Infrastructure Nice-to-Have Skills: Research Skills Internship Start Date: Start in 2026 Summer Benefits: Equity, Generous health benefits, Flexible time off policy. Take the time off you need!, Paid bonding time for all new parents, Traditional and Roth 401k, Commuter and FSA benefits, Lunch Program, Dog friendly office