AI Engineer Intern
- Region
- 🇺🇸 United States
- Work mode
- Remote
- Category
- AI/ML
- Level
- Student/Intern
About the company & role
About Hex Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today’s data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp , Figma , Stubhub , Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility. Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we’re a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it’s like to work at Hex. About the role We are looking for a AI Engineer Intern to join us this summer and help build the next generation of AI-powered data tooling at Hex. Our mission is to empower users to understand and work with data using natural language and agentic AI capabilities. As an intern, you’ll contribute directly to product and research that sits at the core of how data teams explore, analyze, and collaborate. While prior AI research experience is desired, we’re also looking for curiosity, enthusiasm, and a willingness to dive into fast-evolving technology. This is an opportunity to learn from experienced engineers, ship real features to production, and contribute meaningfully to one of the most exciting technical spaces of our time. What you will do: As an AI Engineer Intern, you will work across the entire research process, identifying problems, designing experiments, evaluating results, and implementing in production. Throughout this process, you will partner closely with other AI Engineers, software engineers, PMs, internal partners, and customers. Build run real research experiments to solve business problems, making use of modern and classical AI/ML techniques, tackling problems such as post-tra