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Job details

Staff AI/ML Engineer

Sigma Computing is a leading cloud analytics and business intelligence company transforming how businesses utilize data through a high performance platform on modern data architectures. They are seeking a Staff AI/ML Engineer with deep expertise in AI/ML systems and scalable infrastructure to pioneer innovative AI-driven data exploration and natural language interfaces.

Skills

  • Strong foundation in computer science, machine learning, and deep learning
  • Experience with end-to-end ML lifecycle including data curation, model deployment, and monitoring
  • Proficiency in building scalable ML systems like recommendation engines, search, or machine translation
  • Experience adapting or training foundation models (language or multimodal)

Responsibilities

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

Benefits

  • Equity participation in the company
  • Comprehensive health benefits
  • Flexible time off policy
  • Paid bonding time for new parents
  • Traditional and Roth 401k options
  • Commuter and FSA benefits
  • Lunch program
  • Dog friendly office environment
To read the complete job description, please click on the ‘Apply’ button
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CEO of Sigma Computing
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Mike Palmer
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Average salary estimate

$255000 / YEARLY (est.)
min
max
$240000K
$270000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

Sigma Computing is a fast-growing startup offering a cloud-native analytics and business intelligence platform that enables business teams to break free from the confines of the dashboard, explore data, and make better, faster decisions.

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FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$240,000/yr - $270,000/yr
EMPLOYMENT TYPE
Full-time, onsite
DATE POSTED
July 5, 2025

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