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About the Role
As an AI/ML Engineer on the AI Labs team, you will build the AI foundation that will power Sigma for the future, becoming an integral part of the workflow for thousands of enterprises.
Responsibilities
- Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
- Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
- Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
- Tackle novel UX problems at the intersection of AI, BI, and apps
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
- 10+ years of experience building and deploying production-grade AI/ML systems
- Deep knowledge of machine learning, deep learning, and applied AI
- Experience across the full ML lifecycle: data curation, training, deployment, monitoring
- A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex
- Experience adapting or training foundation models (language or multimodal) for novel domains
Skills
- AI
- ML
- Machine Learning
- Deep Learning
- Applied AI
- ML lifecycle
- Foundation models
- Agents
- Cloud infrastructure
- AWS
- GCP
- Azure
- BI
- Data Apps
- Workflows
- Natural Language Interfaces
Experience Level
- 10+ years of experience
Education Level
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
Salary/Compensations
- $270,000 - $305,000
Benefits
- Competitive Private Equity Package
- 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
About the Company
- 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.