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OpenAI
Tech Lead Manager, Data Acquisition (Foundations)
at OpenAI
6 days ago | 38 views | 1 applications

Tech Lead Manager, Data Acquisition (Foundations)

Full-time
San Francisco, North America
Per year
$365,000 To $445,000

About the company

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team is composed of PR/Media Relations, Events, Design, and other external-facing functions. The team’s ethos is to support OpenAI's mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. The Events team is a dynamic group dedicated to crafting extraordinary experiences that encompass our company's values and mission. Our team is driven by a passion for bringing people together to connect in meaningful ways.

Job Summary

Responsibilities:

đź“ŤOwn and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search. đź“ŤCollaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability. đź“ŤWork closely with the legal team to handle any compliance or data privacy-related matters. đź“ŤDevelop and deploy highly scalable distributed systems capable of handling petabytes to exabytes of data. đź“ŤArchitect and implement algorithms for data indexing and search capabilities. đź“ŤBuild and maintain backend services for data storage, including work with key-value databases and synchronization. đź“ŤDeploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks. đź“ŤConduct and analyze experiments on data to provide insights into system performance.

Qualifications:

đź“ŤBS/MS/PhD in Computer Science or a related field. đź“Ť7+ years of industry experience in software development. đź“Ť2+ years of technical leadership experience đź“ŤExperience with large web crawlers a plus đź“ŤStrong expertise in large stateful distributed systems and data processing. đź“ŤProficiency in Kubernetes, and Infrastructure-as-Code concepts. đź“ŤWillingness and enthusiasm for trying new approaches and technologies. đź“ŤAbility to handle multiple tasks and adapt to changing priorities. đź“ŤStrong communication skills, both written and verbal.

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