Sigma Computing
Technology
StaffAI/MLEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff AI/ML Engineer at Sigma Computing. Skills: AI/ML, MLOps, Data analysis. Partner with product, design, and engineering teams. Identify high-impact AI/ML opportunities”
Industry & Context.
Root cause analysis
What They're Looking For.
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 building things that ship
Nice to Have
Built agents that can plan, reason, and use tools, Know your way around cloud infrastructure, Worked in a fast-moving startup or high-growth environment
What You'll Do.
and engineering teams
Identify high-impact AI/ML opportunities
Productionize AI systems
Develop AI/ML infrastructure
Scale AI/ML infrastructure
Tackle novel UX problems
How You'll Work.
Team & Collaboration
Product teams; Design teams; Engineering teams
Full Job 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 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 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 $240k - $270k
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