Sigma is pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. 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.
Requirements
- 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)
Responsibilities
- 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
Other
- 10+ years of experience building and deploying production-grade AI/ML systems
- You’ve worked in a fast-moving startup or high-growth environment
- The base salary range for this position is $240k - $270k annually.
- This role is eligible for stock options, as well as a comprehensive benefits package.
- Note: We have an in-office work environment in all our offices in SF, NYC, and London.
