We are looking for people who believe AI should do good, and who want to use it on hard problems. Real organizations, in production, owning their AI.
We believe that makers gonna make. Some people talk about AI. Makers build it, share how it works, and point it at the problems that matter.
Makers own. Small teams take an idea from the first commit to a customer's production system, and stay with it after launch. No handoffs to someone else's roadmap.
Makers share. H2O started as open source in 2012, and H2O-3 still is. You learn beside the world's top-ranked data scientists, including Kaggle Grandmasters, and give back to a community of more than 2 million data scientists.
Makers do good. The skills that stop fraud at a bank also helped first responders predict wildfires and hospitals find oxygen during COVID. Here you get to do both.
Skills can be taught. These four are harder to teach, so they are what we look for first, in every role.
We believe in AI for Good. We point math at the hardest problems facing people and the planet, from cancer to climate change, and keep it open so it belongs to everyone.



We invest in our people the way we invest in our technology: carefully, and for the long run. Details vary by country.
Search by team or country. Each role opens its posting on our careers site.
Don’t see the right fit? Browse the full careers board. (opens in a new tab)
New roles open often. Follow H2O AI on LinkedIn to see them first.