Staff AI/ML Engineer

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Staff AI/ML Engineer at Sigmacomputing · LumiJobs

senior

$240k–$270k

H1B: no

Sigmacomputing Staff AI/ML Engineer at Sigma Computing focused on building AI foundations to power the platform's future. Develop and productionize AI/ML systems and infrastructure for internal and customer-facing features.

Responsibilities

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.
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
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

Qualification

Bachelor’s degree in Computer ScienceDeep knowledge of machine learningExperience across the full ML lifecycleYou've built agents that can planAdditional Job details

Required

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
Experience adapting or training foundation models (language or multimodal) for novel domains