Data Engineer
San Francisco / Mountain View · 全职 · 数据与分析
岗位职责与要求
ABOUT THE TEAM
The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses.
We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
About the role:
We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!
In this role, you will:
- Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
- Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
- Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
- Implement robust and fault-tolerant systems for data ingestion and processing.
- Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
- Ensure the security, integrity, and compliance of data according to industry and company standards.
You might thrive in this role if you:
- Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).
- Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
- Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
- Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
- Solid understanding of Spark and ability to write, debug and optimize Spark code.
This role is exclusively based in our San Francisco HQ. Some of our roles are also located in our Mountain View or New York offices. We offer relocation assistance to new employees.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.
OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf
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.
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关于团队
Applied 团队横跨 research、engineering、product 和 design,将 OpenAI 的技术带给消费者和企业。
我们致力于从部署中学习并分发 AI 的益处,同时确保这一强大工具被负责任且安全地使用。对我们来说,安全比无限制的增长更重要。
关于职位:
我们正在寻找一名 Data Engineer,主导为 OpenAI 构建 data pipelines 和 core tables。这些 pipelines 对于驱动分析、指导业务决策的 safety systems、product growth 以及防止恶意行为者至关重要。如果你热衷于与数据打交道,并渴望创造具有重大影响的解决方案,我们很乐意听到你的声音。该职位还提供了与 ChatGPT 背后的 researchers 密切合作的机会,帮助他们训练新的模型以交付给用户。随着我们持续快速增长,我们重视 data-driven insights,你的贡献将在我们的发展轨迹中发挥关键作用。加入我们,共同塑造 OpenAI 的未来!
在这个职位中,你将:
- 设计、构建和管理我们的 data pipelines,确保所有 user event data 无缝集成到我们的 data warehouse。
- 开发 canonical datasets 以跟踪关键 product metrics,包括 user growth、engagement 和 revenue。
- 与各个团队协作,包括 Infrastructure、Data Science、Product、Marketing、Finance 和 Research,以了解他们的数据需求并提供解决方案。
- 为 data ingestion 和 processing 实施稳健且容错的系统。
- 参与 data architecture 和 engineering 决策,运用你丰富的经验和知识。
- 根据行业和公司标准确保数据的安全性、完整性和合规性。
如果你具备以下条件,你可能适合这个职位:
- 拥有 3 年以上 data engineer 经验和 8 年以上 software engineering 经验(包括 data engineering)。
- 精通至少一种 Data Engineering 中常用的编程语言,如 Python、Scala 或 Java。
- 具有 distributed processing 技术和框架的经验,如 Hadoop、Flink 和 distributed storage systems(例如 HDFS、S3)。
- 精通任何 ETL schedulers,如 Airflow、Dagster、Prefect 或类似的框架。
- 对 Spark 有扎实的理解,并能够编写、调试和优化 Spark code。
该职位仅在我们 San Francisco HQ 办公。我们为 new employees 提供 relocation assistance。
如需通知 OpenAI 你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。