Senior AI/ML Engineer — Scalable AI Platform

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

Benefits offered by this job

Equity

Generous health benefits

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 is looking for an experienced AI/ML Engineer to join their innovative team in New York City. In this role, you will partner with various teams to leverage AI/ML opportunities and significantly impact the future of data interactions.

The ideal candidate will have 10+ years of experience in AI/ML systems and a Bachelor's degree in Computer Science or a related field. Sigma offers competitive compensation and a comprehensive benefits package 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.

Responsibilities

• Partner with product, design, and engineering teams to identify high‑impact AI/ML opportunities.
• Prototype and productionize AI systems that feel intuitive but do a lot under the hood.
• 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.

Skills

Machine learning

Deep learning

Applied AI

Cloud infrastructure (AWS, GCP, Azure)

Education

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

Job description

Sigma is looking for an experienced AI/ML Engineer to join their innovative team in New York City. In this role, you will partner with various teams to leverage AI/ML opportunities and significantly impact the future of data interactions.

The ideal candidate will have 10+ years of experience in AI/ML systems and a Bachelor's degree in Computer Science or a related field. Sigma offers competitive compensation and a comprehensive benefits package including equity and flexible time off.