Senior AI/ML Engineer
Sigma · San Francisco, CA
- On site
- Full-time
- $270,000 / year
- San Francisco, CA
Job highlights
- Build future AI foundation for data platform.
- Prototype and productionize AI systems.
- Develop and scale AI/ML infrastructure.
- Solve AI, BI, and app UX problems.
- Requires 10+ years in production AI/ML.
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 a Senior 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 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
- Dog friendly office
Equal Opportunity Employer Statement
Sigma 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, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.
Location Note
Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney.
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 the USA, the UK, and Canada, Australia).
Use of AI in Hiring
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.
Key skills/competency
- Senior AI/ML Engineer
- Machine Learning
- Deep Learning
- Applied AI
- ML Lifecycle
- Productionalize AI Systems
- Foundation Models
- Agentic Workflows
- Cloud Infrastructure
- Data Curation
Skills & topics
- Senior AI/ML Engineer
- Machine Learning
- Deep Learning
- Applied AI
- AI Systems
- ML Infrastructure
- Foundation Models
- Agentic Workflows
- Data Science
- Production ML
- Python
- AWS
- GCP
- Azure
- Startup
How to get hired
- Tailor your resume: Highlight your 10+ years of experience in production-grade AI/ML systems, full ML lifecycle expertise, and experience with foundation models. Quantify your achievements with specific examples of shipped products.
- Showcase AI/ML expertise: Emphasize your deep knowledge of machine learning, deep learning, and applied AI. Include examples of building agents, reasoning, and tool usage if applicable.
- Demonstrate impact: Provide evidence of building and deploying scalable AI/ML infrastructure and features that have reached a significant user base.
- Align with culture: Research Sigma's mission to build the future of work with data and how AI is central to their platform. Mention your interest in a fast-paced startup environment.
- Prepare for technical interviews: Be ready to discuss your experience with the full ML lifecycle, including data curation, training, deployment, and monitoring, as well as your familiarity with cloud infrastructure (AWS, GCP, Azure).
Technical preparation
Behavioral questions
Frequently asked questions
- What is the expected salary range for the Senior AI/ML Engineer role at Sigma?
- The base salary range for the Senior AI/ML Engineer position at Sigma is $240k - $270k annually. Compensation may vary based on individual qualifications, skills, experience, and the total compensation package, which includes stock options and benefits.
- Does Sigma use AI in its hiring process for the Senior AI/ML Engineer role?
- Yes, Sigma utilizes artificial intelligence tools to assist in candidate screening and assessment for roles like the Senior AI/ML Engineer. These AI tools are designed to complement, not replace, human decision-making in the hiring process.
- What is the work environment like for a Senior AI/ML Engineer at Sigma?
- Sigma has an in-office work environment in its SF, NYC, London, and Sydney locations. The role is part of a growing team focused on building the AI foundation for Sigma's platform.
- What are the key responsibilities for a Senior AI/ML Engineer at Sigma?
- Key responsibilities include partnering with product, design, and engineering teams to identify AI/ML opportunities, prototyping and productionizing AI systems (recommendations, natural language interfaces, agentic workflows), and developing/scaling AI/ML infrastructure.
- What specific experience is required for the Senior AI/ML Engineer position at Sigma?
- A Bachelor’s degree in a relevant field is required, along with 10+ years of experience building and deploying production-grade AI/ML systems. Deep knowledge of ML, deep learning, applied AI, and the full ML lifecycle is essential. Experience adapting foundation models is also crucial.
- What are the 'bonus points' or preferred skills for the Senior AI/ML Engineer role at Sigma?
- Bonus points include experience building agents that can plan, reason, and use tools, familiarity with cloud infrastructure (AWS, GCP, Azure), and prior work in a fast-moving startup or high-growth environment.
- How does Sigma's platform leverage AI, and how will a Senior AI/ML Engineer contribute?
- Sigma is integrating AI to enhance how people work with data, discover insights, and make decisions. The Senior AI/ML Engineer will build the core AI foundation, directly impacting thousands of enterprises using Sigma for data exploration, analysis, and app building.
- What kind of AI/ML systems will a Senior AI/ML Engineer develop at Sigma?
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