
Posted 25 days ago
Engineering ManagerDeploy · Seattle
Engineering Manager
SeattleOn-siteFull-time
AI Summary
Leads an engineering team building large-scale AI model inference infrastructure, mentoring engineers and collaborating with product, ML, QA, and sales teams to deliver features and maintain security.
About this role
About Deploy
Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughout. Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection. Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.
Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.
Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.
Engineering Manager 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 managing a team of engineers working on infrastructure projects of a massive scale, contributes innovative ideas and ingenious implementations to the team, and is capable of mentoring junior engineers through their journey to become better.
Responsibilities
Requirements
Skills
AI Model InferenceC++CassandraCode ReviewDistributed SystemsDockerInfrastructureLarge Scale Application DevelopmentMachine LearningNodeScalaSecurity ProtocolsSparkSQL
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