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Ai/ml Phd Intern

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Sigma Computing

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Location:
United States, San Francisco

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

80.00 - 90.00 USD / Hour
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Job Description:

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. You can learn more about our vision for AI/ML at Sigma in our recent blog post. That’s where you come in. As an AI/ML PhD Intern, 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.

Job Responsibility:

  • Conduct original AI/ML research in search, recommendations, natural language processing, agentic workflows and more
  • Prototype and productionize AI systems that feel intuitive but do a lot under the hood
  • Tackle novel UX problems at the intersection of AI, analytics, and data apps
  • Contribute to the development of scalable AI/ML infrastructure for experimentation, training, and evaluation of large-scale models

Requirements:

  • Current PhD student studying AI/ML at a U.S. accredited university
  • Deep understanding of machine learning, including deep learning algorithms, model architectures and optimization
  • Baseline understanding of building and deploying production-grade AI/ML systems
  • Knowledge of the full ML lifecycle: data curation, training, deployment, monitoring
  • Desire to bridge research and application—bringing new AI ideas from concept to impactful deployment

Nice to have:

  • You've built agents that can plan, reason, and use tools
  • You’ve fine-tuned or trained foundation models (language or multimodal) for novel domains
  • You know your way around cloud infrastructure (AWS, GCP, Azure)
  • You’ve worked in a fast-moving startup or high-growth environment
What we offer:
  • Equity
  • Generous health benefits
  • Flexible time off policy
  • Paid bonding time for all new parents
  • Traditional and Roth 401k
  • Commuter and FSA benefits
  • Lunch Program
  • Dog friendly office

Additional Information:

Job Posted:
December 12, 2025

Work Type:
On-site work
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