Staff AI/ML Engineer

About the Role

Sigma Computing is building AI capabilities into its data exploration, analytics, applications, and workflow platform. As a Staff AI/ML Engineer, you will join a growing team building the AI foundation that supports internal tools and customer-facing features used by thousands of enterprises.

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 for internal tooling and customer-facing features.
• Solve novel UX problems at the intersection of AI, business intelligence, and applications.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
• At least 10 years of experience building and deploying production-grade AI/ML systems.
• Deep knowledge of machine learning, deep learning, and applied AI.
• Experience across the full ML lifecycle, including data curation, training, deployment, and monitoring.
• A track record of shipping complex systems such as recommendations, search, or machine translation.
• Experience adapting or training language or multimodal foundation models for novel domains.

Preferred Experience or Skills to Develop

• Building agents that plan, reason, and use tools.
• Familiarity with cloud infrastructure, including AWS, GCP, and Azure.
• Experience in a fast-moving startup or high-growth environment.

Compensation and Benefits

• Annual base salary range: $270,000–$305,000. Compensation may vary outside this range based on qualifications, skills, competencies, and experience.
• Eligible for stock options and a comprehensive benefits package.
• Full-time employee benefits include equity, health benefits, flexible time off, paid bonding time for new parents, traditional and Roth 401(k), commuter and FSA benefits, a lunch program, and a dog-friendly office.

Location and Travel

• Based in New York City, NY, in an in-office work environment.
• All roles have a 25% travel expectation unless explicitly stated otherwise.

Application and Hiring Practices

• Sigma processes applicant personal data to evaluate candidacy and support recruitment and hiring. Applicant data may be transferred internationally, including to the USA, UK, Canada, and Australia; see Sigma's Candidate Privacy Notice for details.
• AI tools assist with candidate screening and assessment and complement rather than replace human decision-making.