岗位能力对标
OpenAI

Full-Stack SWE, Data Acquisition (Foundations)

San Francisco · 全职 · 算法与研究

岗位更新:2025-02-12资料抓取:2026-08-04查看原始招聘来源

需要对标的能力

Agent · 智能体设计Agent 工程 · Harness / 脚手架AI Infra · 推理部署AI 产品设计 · 产品化

岗位职责与要求

Overview: 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 Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure. RESPONSIBILITIES: - Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards. - Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management. - Design and implement APIs to facilitate data interactions between internal services and external data sources. - Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines. - Optimize backend services for performance, scalability, and security in a distributed computing environment. - Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices. - Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies. - Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency. QUALIFICATIONS: - BS/MS/PhD in Computer Science or a related field. - 4+ years of industry experience in full-stack development. - Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go. - Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL). - Experience building data-intensive applications that handle large-scale datasets. - Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker). - Prior experience with web crawling and large-scale data processing is a plus. - Strong problem-solving skills and ability to balance multiple tasks in a fast-moving environment. - Excellent communication and collaboration skills. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
查看中文参考译文
概述: OpenAI Foundations 组织内的 Data Acquisition 团队负责数据收集的各个方面,以支持我们的模型训练运营。我们的团队管理 web crawling 和 GPTBot 服务,并与 Data Processing、Architecture 和 Scaling 团队紧密合作。我们正在寻找一位经验丰富的 Full-Stack Engineer 加入我们的 Data Acquisition 团队,构建和优化驱动我们数据基础设施的界面和工具。 职责: - 开发和维护支持 data acquisition 的全栈应用,包括内部工具和 dashboard。 - 与跨职能团队紧密合作,包括 Data Processing、Architecture 和 Scaling,以确保无缝的数据 ingestion 和工作流管理。 - 设计和实现 API,以促进内部服务与外部数据源之间的数据交互。 - 通过开发直观的 web-based 界面来管理和监控 data pipeline,提升用户体验。 - 在分布式计算环境中优化后端服务的性能、可扩展性和安全性。 - 与法律和合规团队合作,确保我们的 data acquisition 流程符合隐私法规和最佳实践。 - 使用 Kubernetes 和 Infrastructure-as-Code (IaC) 方法论部署和维护基础设施。 - 分析系统性能,进行实验,并改进数据工作流以最大化效率。 资格要求: - 计算机科学或相关领域的 BS/MS/PhD 学位。 - 4 年以上全栈开发行业经验。 - 精通前端框架(React、Vue 或类似框架)以及 Python、Node.js 或 Go 等后端技术。 - 在 RESTful APIs、GraphQL 和数据库设计(SQL 和 NoSQL)方面具有深厚的专业知识。 - 具有构建处理大规模数据集的数据密集型应用的经验。 - 熟悉云平台(AWS、GCP 或 Azure)和容器编排(Kubernetes、Docker)。 - 具有 web crawling 和大规模数据处理经验者优先。 - 强大的问题解决能力,能够在快节奏环境中平衡多项任务。 - 出色的沟通和协作能力。 如需通知 OpenAI 您认为此职位发布不合规,请通过此表单提交报告 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA。与职位发布合规性无关的询问将不予回复。 在 OpenAI,我们相信人工智能有潜力帮助人们解决巨大的全球挑战,我们希望 AI 的益处能够被广泛分享。加入我们,共同塑造技术的未来。

译文仅供辅助阅读,具体要求以原始招聘来源为准。