We are looking for a web designer to help spread the word about how H2O makes machine learning easy. You will work with marketers and product designers to make our messaging clear, concise and accessible on the web. H2O has already spread like wildfire in the data science community, now is the time to let the rest of the world know about it. Help us design and build a beautiful, maintainable web presence for H2O, and empower our marketing team and reach more customers. You don't need to be proficient in every aspect – what we are looking for is a strong core set of skills, the ability to improvise and a collaborative spirit.

We are looking for distributed systems platform engineers to work both on the distributed compute platform and on implementing and improving machine learning algorithms for it. You will work with the ML algo developer team on extending and improving the capabilities of the underlying system. This will include the distributed in-memory data storage layer, the compute layer which allows algorithms to be run across all the cores in parallel and non-ML capabilities such as data transformations and distributed data connectors for multi-terabyte data import. We support clusters of at least 3200 cores and tens of terabytes of in-memory applications. To apply, please email resume to careers@h2o.ai

H2O.ai is nurturing a grassroots movement of developers and data scientists to herald a new wave of discovery powered by machine learning. Come join us to change the world in a meaningful way! If you have a startup mentality and a desire to help some of the world's largest organizations leverage the world's most powerful algorithms we want to hear from you. A competitive salary, terrific health benefits, a great location, complimentary meals and snacks and unlimited PTO are only a few of the perks we offer.

H2O.ai is on a mission to empower everyone with the tools to easily develop high performance, production-ready, machine learning models and we are inviting you to join us on this journey! H2O is an open source, distributed machine learning platform with interfaces in R, Python, Scala, Java, REST/JSON, as well as a web interface called Flow. H2O can train models on a large Hadoop or Spark cluster just as easily as training models on a laptop. H2O.ai is the startup headquartered in Mountain View, CA, behind the H2O software product. Data Science Intern, you'll be tasked to apply your analytical skills to industry-focused data science applications, in addition to development of the H2O software itself.