# Staff AI/ML Engineer

**Company:** [Sigma](https://hotfix.jobs/companies/sigma)
**Location:** San Francisco, CA, New York, NY
**Role:** ML Engineering
**Salary:** $240k – $270k/yr
**Experience:** 10+ years
**Skills:** Machine Learning, Deep Learning, applied ai, Foundation Models, LLMs, ml lifecycle, data curation, Model Training, model deployment, model monitoring, AWS, GCP, Azure, Agentic Workflows, natural language interfaces
**Posted:** 2026-06-09

> Build and productionize AI/ML systems including recommendations, natural language interfaces, and agentic workflows for Sigma's data analytics platform. Requires 10+ years experience across the full ML lifecycle and foundation model expertise.

## Job Description

## What You’ll Do
- 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—recommendations, natural language interfaces, agentic workflows, and more
- 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

## What You Bring
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required)
- 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: data curation, training, deployment, monitoring
- A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex
- Experience adapting or training foundation models (language or multimodal) for novel domains

## Bonus Points
- You've built agents that can plan, reason, and use tools
- You know your way around cloud infrastructure (AWS, GCP, Azure)
- You’ve worked in a fast-moving startup or high-growth environment

## Compensation
The base salary range for this position is $240k - $270k annually. This role is eligible for stock options, as well as a comprehensive benefits package including equity, generous health benefits, flexible time off, paid bonding time, 401k, commuter and FSA benefits, lunch program, and dog friendly office.

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**Canonical:** https://hotfix.jobs/jobs/d4b49598-ca7c-421a-aa1d-ec84912cf6fc