Data Infra Engineer
Location | Mountain View, CA |
Commitment | Full Time |
Role | Engineering |
Remote | 🏢🌴Hybrid |
First listed | In the last 22 months |
Job Description
Build the Future of AI Infrastructure with Kumo!
Companies invest millions in storing terabytes of data in data lakehouses, yet only a small fraction is leveraged for predictive insights. Traditional machine learning pipelines are slow and complex, requiring months of engineering effort for data preparation, feature engineering, and model training.
At Kumo, we are redefining AI infrastructure for data lakehouses, enabling businesses to harness the power of Graph Neural Networks with minimal effort. Our platform eliminates the complexities of traditional ML pipelines, allowing users to train high-performance models directly on their relational data with just a few lines of Predictive Query Language (PQL).
We are looking for Data Infrastructure Engineers to join our team and help build a scalable, high-performance ML platform. If you thrive in designing robust, cloud-native infrastructure, optimizing data pipelines, and building scalable services, we’d love to hear from you!
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