Senior AI/ML Engineer

Responsibilities

• Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
• Prototype and productionize AI systems including recommendations, natural language interfaces, and agentic workflows
• Develop and scale AI/ML infrastructure to power internal tooling and customer-facing features
• Tackle novel UX problems at the intersection of AI, Business Intelligence, and applications

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
• 10+ years of experience building and deploying production-grade AI/ML systems
• Deep knowledge of machine learning, deep learning, and applied AI
• Full ML lifecycle experience, including data curation, training, deployment, and monitoring
• Experience adapting or training foundation models (language or multimodal) for novel domains

Preferred Qualifications

• Experience building agents capable of planning, reasoning, and using tools
• Proficiency with cloud infrastructure such as AWS, GCP, or Azure
• Experience working in a fast-moving startup or high-growth environment

Benefits

• Equity and stock options
• Generous health benefits
• Flexible time off policy
• Paid bonding time for all new parents
• Traditional and Roth 401k
• Commuter and FSA benefits
• Lunch Program
• Dog-friendly office

About the Company

Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows without moving data or breaking governance. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.