Senior AI/ML Engineer - Equity & Data-Driven AI

Sigma Computing Inc.; New York (NY); On-site; USD 240,000 - 270,000; Full time

Benefits offered by this job

Equity

Flexible time off

Paid bonding time for new parents

Traditional and Roth 401k

Commuter and FSA benefits

Lunch Program

Dog friendly office

Job summary

Sigma Computing Inc. is seeking an AI/ML Engineer to join their team, focusing on building the AI foundation that will power their platform. You will work with cross-functional teams to identify AI opportunities and develop innovative AI systems that enhance user workflows.

The ideal candidate must have at least 10 years of experience in AI/ML, a Bachelor’s degree in a relevant field, and a deep understanding of machine learning and data interoperability.

This role offers a competitive salary range of $240k - $270k, stock options, and comprehensive benefits including equity and flexible time off.

Qualifications

• 10+ years of experience building and deploying production-grade AI/ML systems.
• Deep knowledge of machine learning, deep learning, and applied AI.
• Experience adapting or training foundation models for novel domains.

Responsibilities

• Partner with product, design, and engineering teams for AI/ML opportunities.
• Prototype and productionize intuitive AI systems.
• Develop and scale AI/ML infrastructure for internal and external use.
• Solve UX challenges at the intersection of AI, BI, and apps.

Skills

Machine learning

Deep learning

Applied AI

Cloud infrastructure

Full ML lifecycle

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field

Job description

Sigma Computing Inc. is seeking an AI/ML Engineer to join their team, focusing on building the AI foundation that will power their platform. You will work with cross-functional teams to identify AI opportunities and develop innovative AI systems that enhance user workflows.

The ideal candidate must have at least 10 years of experience in AI/ML, a Bachelor’s degree in a relevant field, and a deep understanding of machine learning and data interoperability.

This role offers a competitive salary range of $240k - $270k, stock options, and comprehensive benefits including equity and flexible time off.