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Senior AI/ML Engineer

Sigma ComputingSan Francisco, CAEngineering
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Salary
$240K - $270K USD
Job type
Full-time
Posted
9 Jun 2026
Status
Open · checked 7d ago

About this role

The Senior AI/ML Engineer position at Sigma Computing is an on-site role based in San Francisco, California, offering qualified professionals the chance to shape the future of enterprise data tools. This role suits an experienced machine learning expert with a decade of background in deploying production-grade artificial intelligence systems.

Role Overview

Sigma Computing is seeking a Senior AI/ML Engineer to join the engineering team in San Francisco. The platform allows users to analyze billions of rows of data using a spreadsheet interface, workbooks, and custom data applications. In this position, the engineer will construct the artificial intelligence foundation that powers customer-facing features and internal tooling, helping thousands of enterprise organizations discover insights rapidly.

Key Responsibilities

Collaborate closely with product, design, and engineering teams to spot high-impact artificial intelligence and machine learning opportunities.
Prototype and productionize intelligent systems, such as natural language interfaces, recommendations, and agentic workflows.
Develop and scale robust machine learning infrastructure for both customer-facing capabilities and internal operations.
Solve complex user experience challenges situated at the intersection of applications, business intelligence, and artificial intelligence.

Requirements

Bachelor’s degree in Engineering, Mathematics, Computer Science, or a related field.
Ten or more years of hands-on experience building and deploying production-grade artificial intelligence and machine learning systems.
Comprehensive knowledge of applied artificial intelligence, deep learning, and machine learning.
Proven mastery across the complete machine learning lifecycle, covering data curation, model training, deployment, and ongoing monitoring.
Demonstrated history of shipping complex products like search, machine translation, or recommendation engines.
Experience adapting or training foundational language and multimodal models for specialized domains.

Nice to Have

Practical experience building autonomous agents capable of reasoning, planning, and tool use.
Familiarity with cloud infrastructure platforms including AWS, GCP, and Azure.
Background working inside high-growth environments or fast-moving startups.

Skills and Tools

Python
SQL
AWS, GCP, and Azure cloud infrastructure
Spark
Foundation models (language and multimodal)

Salary and Benefits

The base salary range for this position spans from $240,000 to $270,000 annually, with actual compensation depending on competencies, qualifications, skills, and experience. Employees receive a total compensation package that includes stock options and a comprehensive benefits portfolio. Benefits features consist of generous health coverage, a flexible time off policy, paid bonding time for new parents, traditional and Roth 401(k) plans, commuter and FSA benefits, an on-site lunch program, and a dog-friendly office environment.

About the Company

Sigma is the cloud-native AI apps and agentic analytics platform built on top of cloud data warehouses. Over 2,000 customers—including prominent names like JPMorgan Chase, Duolingo, AMD, and Colgate-Palmolive—rely on Sigma to explore live data, build intelligent apps, and automate workflows securely. The company recently announced $80M in Series E financing in May 2026, following milestone achievements in annual recurring revenue and user growth.

How to Apply

Interested candidates should visit the official Sigma Computing careers page to submit an application and review the candidate privacy notice.

Skills and tech stack

PythonSQLAWSGCPAzureSpark

Questions candidates ask

What is the location of the Senior AI/ML Engineer role?

The position is based in San Francisco, California, within an in-office work environment.

What is the salary range for this position?

The base salary ranges from $240,000 to $270,000 annually, supplemented by stock options and comprehensive benefits.

How many years of experience are required?

Candidates must have 10+ years of experience building and deploying production-grade AI/ML systems.

What educational background is required?

A bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field is required.

What technical skills are listed for the job?

Key skills include Python, SQL, Spark, cloud infrastructure like AWS, GCP, and Azure, and working with foundation models.

Ready to apply?

The application is on the official Sigma Computing careers page.

Apply on company site