H2O is the premier open-source machine learning platform transforming how machine-intelligence applications are built. With H2O, data scientists take both simple and sophisticated models to production from the same interactive platform they use for modeling, at enterprise scales. Our customers have built powerful domaterin-specific predictive engines for recommendation, pricing, and outlier detection in fraud & insurance. The H2O.ai team is a mix of Software, Math, and Data Science people working together with the open source community to build H2O.
Responsible for core architecture design and development, including integration with distributed Spark computation platform, design/develop scalable Machine Learning applications; build and maintain the open-source community for H2O and Sparkling Water open-source projects; manage junior engineering team members, and; conduct technical presentations at meet-ups and conferences.
Qualifications and Skills
Master’s degree or PhD (or foreign equivalent) in Computer Engineering, Computer Science, Informatics/Software Systems, or related field
This is an excellent opportunity to learn about machine learning as a member of our world-class team.