Sigma is building the future of how people work with data by applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions. The AI/ML Engineer will build the AI foundation that will power Sigma for the future, becoming an integral part of the workflow for thousands of enterprises.
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
- Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
- 10+ years of experience building and deploying production-grade AI/ML systems
- You’ve worked in a fast-moving startup or high-growth environment
- Note: We have an in-office work environment in all our offices in SF, NYC, and London.
