AI/ML PhD Intern (Summer 2027)
San Francisco · USD 80-90 / hour · Onsite · Posted Oct 6, 2026
At a glance
- Workplace
- Onsite
- Location
- San Francisco
- Salary
- USD 80-90 / hour
About Sigma Computing
- 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.
- Come join us!
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.
- You will conduct original AI/ML research and help apply AI to reshape how people build in Sigma, discover insights, and make smarter decisions.
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.
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
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
Workplace
- In-office work environment in all our offices in SF, NYC, and London
- All roles have a 25% travel expectation unless explicitly stated otherwise
Skills
- Machine Learning
- Deep Learning
- Natural Language Processing
- Python
- SQL
- AWS
- GCP
- Azure
