AI Engineer Intern
Hex · San Francisco, United States · 7h ago
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-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 evals, production monitoring, training pipelines, and more
Solve practical engineering challenges, such as performance optimizations, data modeling, and API design
Participate in the full development lifecycle, from ideation and design to implementation, testing, and launch.
About you
You are pursuing a degree in Computer Science, Engineering, or a related field, with plans to graduate in December 2027 or sometime in 2028
You have AI research, applied AI, or ML experience, ideally having worked on substantive generative AI or transformer-based projects
You have an interest in how you can build delightful product experiences backed by cutting edge technology, and an appetite for pushing the boundaries of what agents can accomplish
You care about users and enjoy thinking about how technical systems translate into polished, intuitive experiences.
You are curious, adaptable, and comfortable working in a fast-paced environment where priorities shift as new technology emerges.
You enjoy collaborating with others, asking questions, and learning from more senior engineers.
The compensation for this role is $11,000 a month + a housing stipend.
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.