Sigma Computing Applied AI
Staff AI/ML Engineer
- Location New York City, NY
- Compensation $240,000 – $270,000 / yr
- Seniority staff
- Posted 2026-06-09
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role details
Builds and deploys production-grade AI/ML systems, partnering with teams to identify opportunities and develop infrastructure.
Summary generated by AI from the original posting.
Hard requirements to check first
- Clearance:not mentioned in the posting
- Work auth:not mentioned in the posting
Skills
PythonSQLAWSAzureGCPDatabricksSparkAgentsMachine LearningDeep LearningApplied AICloud Infrastructure (AWS, GCP, Azure)Full ML lifecycle (data curation, training, deployment, monitoring)Foundation models (language or multimodal)
Excerpt from the original posting
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 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 the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the AI Apps an…