Report

Staff AI/ML Engineer

Salary

$240k - $270k

Min Experience

10 years

Location

New York City or San Francisco or London

JobType

full-time

About the job

Info This job is sourced from a job board

Overview

About the role

About the Role

At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast.

That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma.

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 (or skills you’ll build here)

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

Additional Job details

The base salary range for this position is $240k - $270k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

About us:

Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.

Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.

Come join us!

Benefits For Our Full-Time Employees:

Equity
Generous health benefits
Flexible time off policy. Take the time off you need!
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office

Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.

Note: We have an in-office work environment in all our offices in SF, NYC, and London.

Our Privacy Practices

When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada).

Sigma’s use of AI

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

About the company

Cloud-native analytics platform featuring a spreadsheet-style interface.

Skills

AWS

GCP

Azure