Staff AI/ML Engineer - Sigma
Staff AI/ML Engineer joining Sigma's AI Labs team to prototype and productionize AI systems—recommendations, natural-language interfaces, agentic workflows—and scale the AI/ML infrastructure behind Sigma's cloud-data-warehouse analytics platform. Requires 10+ years shipping production AI/ML; based in New York or San Francisco.
- Compensation
- $270K–$305K / yr
- Location
- NY or SF
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 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
- Track record of shipping complex systems (recommendations, search, machine translation, or similar)
- Experience adapting or training foundation models (language or multimodal) for novel domains
Nice to have
- Experience building agents that can plan, reason, and use tools
- Familiarity with cloud infrastructure (AWS, GCP, Azure)
- Experience working in a fast-moving startup or high-growth environment
Full description
About Sigma:
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.
About the Role
At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast.
That’s where you come in. As an AI/ML Engineer, you’ll joining the AI Labs team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma.
What You’ll Do
- 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
What You Bring
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required)
- 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