SQL, Scala Programming, Machine learning techniques, Jenkins, Apache Cassandra, Deep Learning, ETL/ELT technologies, HDFS, PostgreSQL, SPARK Programming
Hive is a full-stack deep learning platform helping to bring companies into the AI era. We take complex visual challenges and build custom machine learning models to solve them. For AI to work, companies need large volumes of high quality training data. We generate this data through Hive Data, our proprietary data labeling platform with over 1,000,000 globally distributed workers, generating millions of high quality pieces of data per day. We then use this training data to build machine learning models for verticals such as Media, Autonomous Driving, Security, and Retail. Today, we work with some of the largest companies in the world to redefine how they think about unstructured visual data. Together, we build solutions that incorporate AI into their businesses to completely transform industries.
We are fortunate that investors like Peter Thiel (Founders Fund), General Catalyst, 8VC, and others see Hive's potential to be groundbreaking in AI business solutions. We have over 160 talented individuals globally in our San Francisco and Delhi offices. Please reach out if you are interested in joining the AI revolution!
Director of Engineering Role
In order to execute our vision, we're constantly growing our engineering team. We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential. We value hard workers who have no qualms working with terabyte-scale datasets, are interested in learning new technologies at all levels of the stack, and move fast and take ownership of their projects. Our ideal candidate has experience not only managing a team of engineers, but experience managing engineering managers and driving engineering culture at the organization.
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Apply now at Hive
Hive is the leading provider of enterprise AI solutions for intelligent automation, helping companies of all sizes achieve automation beyond the back office. The company offers end-to-end AI services, from hand-annotated data labeling to turnkey, pre-trained AI models served via API. Hive's APIs power use cases including automated content moderation, logo detection, contextual advertising, document parsing, speech-to-text transcription, and more.