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# Senior AI/ML Engineer

- **Company:** Sigma Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $240,000.0 - $270,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Spreadsheets, Cloud Computing, Machine Learning, Machine Translation, Google Cloud, Deep Learning, Information Technology, Machine Learning Operations, Natural Language Interfaces, Programming Languages
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-ai-ml-engineer-new-york-ny--1e200411-d104-4491-96cb-dba986e53512

## About the Role

Artificial Intelligence (AI), Spreadsheets, Analysis Skills, Artificial Intelligence (AI), Product Design, Technical/Engineering Design, Prototyping, Interface Programming Languages, Production Systems, Customer Relations, * 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, * 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

## Description

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., * 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