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Sigma Computing
Sigma Computing

60 Sigma Computing Machine Learning Engineer Jobs Hiring Near You

Sigma Computing

Engineering Manager

San Francisco, CA · On-site

$230K - $270K/yr

... Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits ... We look forward to learning how your experience can enable all of us to grow. Note: We have an in ...

Sigma Computing

Technical Support Engineer

New York, NY · On-site

$90K - $115K/yr

As a Technical Support Engineer at Sigma, you will be part of an award-winning team recognized with ... Sigma Computing. This role is eligible for an annual bonus, stock options, as well as a ...

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Infographic showing various Machine Learning Engineer job openings at Sigma Computing in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

Staff Software Engineer - Frontend

Sigma Computing

New York, NY • On-site

$240K - $270K/yr

Full-time

Medical, Retirement

Re-posted 13 days ago

Job description

About the Role
Sigma is transforminghow businesses run by delivering a high performance platform on modern data architecture. Hence, we are growing the engineering team and looking for engineers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users.
What You Will Be Doing
  • You will be responsible for developing elegant and responsive user experience using the latest front-end technologies. You'll own substantial pieces of the product, from design to launch
  • Working with our product, UX design, and backend development teams, you will develop new features and technologies that make our product experience awesome and radically simplify the user experience for non-technical users
  • You will leverage your technical expertise in front-end application development in the creation of novel visualizations for structured and unstructured data and develop new techniques for improving the performance and interactivity of the application
  • Use modern frontend frameworks like React, GraphQL, TypeScript and Node.js

Qualifications We Need
  • 10+ years industry experience building and maintaining high-quality software
  • An eye for great design and a passion for building products that provide a great user experience
  • The ability to make the right trade-offs between functionality and delivery speed that supports delivering value to customers, all the while iterating based on feedback and roadmap priorities
  • Desire to be a great teammate and have fun at work without compromising ownership towards your work
  • Strong sense of craftsmanship, and a healthy academic curiosity to solve challenges at sigma
  • Strong computer science fundamentals

Qualifications We Want (also, skills you'll learn!)
  • Experience building software capabilities for analyzing large scale data web applications
  • Prior experience working at high growth company solving technical problems to enable continued success

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

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.
Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney.
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 the USA, the UK, and Canada, Australia).
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.

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