OpenAI의 Data Acquisition 팀에서 모델 학습을 위한 대규모 데이터 수집 시스템을 구축할 Software Engineer를 채용합니다. 분산 시스템 및 데이터 처리에 대한 깊은 전문성과 Kubernetes 활용 능력이 필수입니다. 페타바이트 규모의 데이터를 다루며 웹 크롤링 및 인덱싱 아키텍처를 설계하고 운영하는 핵심 역할을 수행하게 됩니다.
The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Software Engineer to join our Data Acquisition team.
Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search.
Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability.
Work closely with the legal team to handle any compliance or data privacy-related matters.
Develop and deploy highly scalable distributed systems capable of handling petabytes of data.
Architect and implement algorithms for data indexing and search capabilities.
Build and maintain backend services for data storage, including work with key-value databases and synchronization.
Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks.
Conduct and analyze experiments on data to provide insights into system performance.
BS/MS/PhD in Computer Science or a related field.
4+ years of industry experience in software development.
Experience with large web crawlers a plus
Strong expertise in large stateful distributed systems and data processing.
Proficiency in Kubernetes, and Infrastructure-as-Code concepts.
Willingness and enthusiasm for trying new approaches and technologies.
Ability to handle multiple tasks and adapt to changing priorities.
Strong communication skills, both written and verbal.
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