Hive's APIs enable developers to integrate pre-trained AI models that address technically challenging content understanding needs into their applications. Backed by General Catalyst.
About the role
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
What they're looking for
- Minimum 3 - 5 years of previous experience in development, operations, IT, or a related field
- Comfortable working on Linux infrastructures (Debian) via the CLIAble to learn quickly in a fast-paced environment
- Able to debug, optimize, and automate routine tasks
- Able to multitask, prioritize, and manage time efficiently independently
- Able to physically lift equipment at least 30 pounds
- Can communicate effectively across teams and management levels
More about this role
About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
DevOps and Systems Team
Our unique machine learning needs led us to open our own data centers, with an emphasis on distributed high performance computing integrating GPUs. Even with these data centers, we maintain a hybrid infrastructure with public clouds...
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