AI​/ML Engineer

This staff engineer will build the AI foundation for Sigma’s data analytics platform, including recommendations, natural-language interfaces, and agentic workflows. The role partners with product, design, and engineering teams and spans prototyping, production deployment, and AI/ML infrastructure.
* Full-time
* On-site
* 10+ years
* Bachelor's Degree### Skills and expertise

Machine learning

Deep learning

Applied AIFoundation model adaptation and training

Data curation

Model training and deployment

Model monitoringAWS, GCP, Azure### Key responsibilities
* Identify high-impact AI/ML opportunities with product, design, and engineering teams.
* Prototype and product ionize AI systems such as recommendations, natural-language interfaces, and agentic workflows.
* Develop and scale AI/ML infrastructure for internal tools and customer-facing features.## How this job compares

Compared with 94 open staff machine learning jobs on October 10, 2026.Pay:
This job pays $270K to $305K a year. The 56 open staff machine learning jobs that publish US pay start at $219K on average, so this job starts about 24% higher.

Similar open jobs:
We Love AI Jobs lists 94 open staff machine learning jobs at 53 companies.

Remote work:
This job is on site. 16 of the 94 staff machine learning jobs (17%) are remote.

AI in this role:
High. AI is the core of the work: building, training or deploying AI systems. Building and deploying AI systems is the core of the role, including recommendations, natural-language interfaces, agentic workflows, and foundation models.## Full description

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 join a growing 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 product ionize 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
• Experience adapting or training foundation models (language or multimodal) for novel domains

Bonus Points (or skills you’ll build here)
• You've built agents that can plan, reason, and use tools
• You know your way around cloud infrastructure (AWS, GCP, Azure)
• You’ve worked in a fast-moving startup or high-growth environment

Additional Job details

The base salary range for this position is $270k - $305k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of…