AI Engineer Intern

Hex•San Francisco, CA

About The Position

Hex is seeking an AI Engineer Intern to help build AI-powered data tools that let users understand and work with data through natural language and agentic AI. The intern will contribute to product and research at the center of how data teams explore, analyze, and collaborate, and will work with experienced engineers to develop features for production. Prior AI research experience is desired, along with curiosity and enthusiasm for fast-evolving technology. The role spans the research process, from identifying problems and designing experiments through evaluating results and implementing solutions in production. The intern will collaborate with AI and software engineers, product managers, internal partners, and customers. The position is for the summer; the posting does not specify a year or exact dates.

Requirements

  • Currently pursuing a degree in Computer Science, Engineering, or a related field, with plans to graduate in December 2027 or sometime in 2028.
  • Experience in AI research, applied AI, or machine learning.
  • Interest in building polished product experiences backed by cutting-edge technology and pushing the boundaries of agent capabilities.
  • Care about users and think about how technical systems translate into intuitive experiences.
  • Be curious, adaptable, and comfortable in a fast-paced environment where priorities can shift.
  • Enjoy collaborating, asking questions, and learning from more senior engineers.

Nice To Haves

  • Prior AI research experience.
  • Experience with substantive generative AI or transformer-based projects.

Responsibilities

  • Run research experiments to solve business problems using modern and classical AI/ML techniques, including work on post-training, continuous learning, and agent self-improvement.
  • Collaborate with product engineers to deliver new AI-powered capabilities to end users.
  • Contribute to research infrastructure, including evaluations, production monitoring, and training pipelines.
  • Solve practical engineering challenges such as performance optimization, data modeling, and API design.
  • Participate in the full development lifecycle, from ideation and design through implementation, testing, and launch.

Benefits

  • $11,000 per month compensation plus a housing stipend.
  • Equity.
  • Comprehensive health benefits.
  • Flexible paid time off.
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