Staff AI/ML Engineer (San Francisco)

Sigma is transforminghow businesses run by delivering a high performance platform on the modern data architecture. This presents a unique and exciting opportunity for AI/ML to reshape how users explore and interact with their data. Whether through powering recommendations and discovery, providing assistive workflows, or completely transforming how users leverage their data advantage through natural language interfaces and agentic workflows. We're building a world-class AI/ML organization at Sigma that will be at the forefront of this evolution. Come join us!

What You Will Be Doing

• Collaborate with cross-functional teams to identify high-impact AI/ML opportunities
• Prototype novel ideas and implement state-of-the-art AI/ML systems
• Build scalable AI/ML infrastructure and workflows for internal teams and Sigma users
• Create novel natural language and agentic interfaces that empower Sigma users to explore and interact with their data

Qualifications We Need

• 10+ years of experience building production-grade AI/ML models or systems
• Strong foundation in computer science, machine learning and deep learing
• Experience with the ML lifecycle from data curation to model deployment and monitoring
• Experience building scalable ML systems such as recommendation engines, search or machine translation
• Experience adapting or training foundation models (language or multimodal) for novel domains

Qualifications We Want (also, skills you’ll learn!)

• Experience building agents that can reason and leverage external tools
• Deep experience with cloud technologies such as AWS, GCP or Azure
• Prior experience working at high growth company

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 only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required.

Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such asforecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment.

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.

Benefits For Our Full-Time Employees:

• Equity
• 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.

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