Staff AI/ML Engineer - AI Foundations & Workflows

Sigma Computing; San Francisco (CA); On-site; USD 270,000 - 305,000; Full time

Benefits offered by this job

Equity

Flexible time off policy

Paid bonding time for new parents

Traditional and Roth 401k

Commuter and FSA benefits

Lunch Program

Dog friendly office

Job summary

Sigma Computing is hiring an AI/ML Engineer to help build the AI foundation powering Sigma’s future. You’ll shape how thousands of enterprises work with data through scalable AI features and user-focused workflows.

Collaborate with product, design, and engineering to identify high-impact AI opportunities, prototype and productionize AI systems, and scale infrastructure across internal tooling and customer-facing features—turning ideas into reliable, production-ready capabilities.

Qualifications

• Bachelor's degree in CS or related field required.
• 10+ years building and deploying production-grade AI/ML systems.
• Deep knowledge of ML, DL, and applied AI.
• End-to-end ML lifecycle: data curation, training, deployment, monitoring.
• Proven track record shipping complex AI features.

Responsibilities

• Identify high-impact AI/ML opportunities with product, design and engineering.
• Prototype and productionize AI systems with intuitive UX and robust performance.
• Develop and scale AI infrastructure powering internal tooling and customer features.
• Tackle UX challenges at the intersection of AI, BI and apps.

Skills

Machine learning

Deep learning

Foundation models

ML lifecycle

Production systems

Cloud platforms

Education

Bachelor's degree in Computer Science or related field

Job description

Sigma Computing is hiring an AI/ML Engineer to help build the AI foundation powering Sigma’s future. You’ll shape how thousands of enterprises work with data through scalable AI features and user-focused workflows.

Collaborate with product, design, and engineering to identify high-impact AI opportunities, prototype and productionize AI systems, and scale infrastructure across internal tooling and customer-facing features—turning ideas into reliable, production-ready capabilities.