Staff AI/ML Engineer
Actively Hiring
Full-time $240k - $270k Posted 5 months ago
Role overview
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.
Responsibilities
- check_circle Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
- check_circle Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
- check_circle Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
- check_circle Tackle novel UX problems at the intersection of AI, BI, and apps
- check_circle Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (required)
- check_circle 10+ years of experience building and deploying production-grade AI/ML systems
- check_circle Deep knowledge of machine learning, deep learning, and applied AI
- check_circle Experience across the full ML lifecycle: data curation, training, deployment, monitoring
- check_circle A track record of building things that ship—whether it's recommendations, search, machine translation, or something equally complex
- check_circle Experience adapting or training foundation models (language or multimodal) for novel domains
- check_circle You've built agents that can plan, reason, and use tools
- check_circle You know your way around cloud infrastructure (AWS, GCP, Azure)
- check_circle You've worked in a fast-moving startup or high-growth environment
About the company
- check_circle Equity
- check_circle Generous health benefits
- check_circle Flexible time off policy. Take the time off you need!
- check_circle Paid bonding time for all new parents
- check_circle Traditional and Roth 401k
- check_circle Commuter and FSA benefits
- check_circle Lunch Program
- check_circle Dog friendly office
Tags & Focus Areas
Fulltime Ai Ai Engineer Machine Learning Nlp