Senior AI/ML Engineer

We Love AI Jobs; San Francisco (CA); 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 benefits

Lunch Program

Job summary

Sigma Computing seeks a Senior AI/ML Engineer in San Francisco to build and productionize AI systems for the analytics platform, including recommendations, natural-language interfaces, and agentic workflows. You will own the ML lifecycle from data curation to deployment and monitoring.

You will collaborate with product, design, and engineering, scale AI infrastructure for internal tools and customer-facing features, and work on foundation models.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
• 10+ years of experience building and deploying production AI/ML systems.
• Experience across the full ML lifecycle: data curation, training, deployment, monitoring.

Responsibilities

• Identify high-impact AI/ML opportunities with product, design, and engineering teams.
• Prototype and productionize AI systems such as recommendations, natural-language interfaces, and agentic workflows.
• Develop and scale AI/ML infrastructure for 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

Data curation

Model training

Model deployment

Model monitoring

Cloud platforms

Education

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

Tools

AWS

GCP

Azure

Job description

# Senior AI/ML EngineerSigmaSan Francisco, CAFull-time$240,000 – $270,000 / yearUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageYou’ll build and productionize AI systems for Sigma’s analytics platform, including recommendations, natural-language interfaces, and agentic workflows. The role spans the ML lifecycle and AI infrastructure, with customer-facing features intended to help enterprise users work with data.* Permanent* On-site* 10+ years* Bachelor's Degree### Skills and expertisemachine learningdeep learningapplied AIdata curationmodel trainingmodel deploymentmodel monitoringAWS, GCP, Azure### Key responsibilities* Identify high-impact AI/ML opportunities with product, design, and engineering teams.* Prototype and productionize AI systems such as recommendations, natural-language interfaces, and agentic workflows.* Develop and scale AI/ML infrastructure for internal tooling and customer-facing features.## How this job comparesCompared with 410 open senior machine learning jobs on October 10, 2026.Pay: This job pays $240K to $270K a year. The 143 open senior machine learning jobs that publish US pay start at $186K on average, so this job starts about 29% higher.Similar open jobs: We Love AI Jobs lists 410 open senior machine learning jobs at 176 companies.Remote work: This job is on site. 90 of the 410 senior machine learning jobs (22%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. Building and deploying AI/ML systems is the core of the role, from model lifecycle work to production AI features. The posting specifically calls out recommendations, natural-language interfaces, agents, and foundation models.## Full descriptionAbout the RoleAt 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 appsWhat 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 domainsBonus 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 environmentAdditional Job detailsThe 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 agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.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