AI/ML PhD Intern

About This Role

As an AI/ML PhD Intern, you will conduct original research, prototype and productionize AI systems, and contribute to scalable AI/ML infrastructure. This role focuses on building the AI foundation to power Sigma for the future, impacting thousands of enterprise users.

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

Qualifications

• Current PhD student studying AI/ML

Nice to Have

• Experience building agents that can plan, reason, and use tools
• Experience fine-tuning or training 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

Skills

* Required skills

Benefits