数据工程师，人才创新实验室
Data Engineer, People Innovation Labs
关于团队
在OpenAI，我们正在构建连接我们的使命与员工的纽带。People Innovation Labs是一个快速发展的工程团队，嵌入在人力资源组织中，专注于重新思考如何发现和留住最优秀的人才，并赋能每个人发挥最佳工作状态。从招聘到文化，我们设计的系统通过将OpenAI的模型和第一性原理思维融入工作的各个方面，为我们的HR团队带来显著优势。我们的项目范围从像OpenHouse（我们的内部知识库）这样的全新0-1产品，到人工智能驱动的自动化和可扩展的招聘工具。我们正在定义OpenAI未来的工作方式，打造AI如何提升生产力、文化和创新的蓝图。
关于职位
我们正在寻找一名数据工程师，构建将为People Innovation Labs内部产品提供支持的数据密集型系统，并使People Analytics团队能够高效工作。这些数据管道对于由业务系统记录构建的人才产品以及持续的人才数据分析至关重要。
你将参与构建的一个面向员工的产品是OpenHouse，它作为文化与沟通中心，也是进入People Innovation Labs所有其他工作的组织级入口。OpenHouse和其他产品由全栈产品经理开发，他们对文化、招聘和人才发展充满好奇心，并希望了解从商业战略和指标到实现目标的代码的方方面面。在这个职位上，你将与People Innovation Labs的领导、软件工程师和People Analytics团队合作，构建支持这些工作的数据系统。
在此职位上，你将：
- 设计、构建和管理人员数据管道，确保所有数据无缝集成到我们的Databricks仓库中。
- 开发标准数据集，以跟踪关键人员指标和People Innovation Labs产品指标。
- 与多个团队协作，包括数据平台、数据科学、People Analytics和薪酬与股权团队，了解他们的数据需求并提供解决方案。
- 实现稳健且容错的数据摄取和处理系统。
- 参与数据架构和工程决策，凭借你在该领域的丰富经验，成为团队中的主要数据工程专家。
- 确保数据的安全性和完整性。
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About the Team
At OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation.
About the Role
We’re seeking a Data Engineer to build data-intensive systems that will power People Innovation Labs’ internal products and enable the People Analytics function to do their best work. These data pipelines are crucial for our build-out of people products backed by business systems of record and for ongoing people data analytics.
One example of an employee-facing product you’ll help us build is OpenHouse, which serves as a culture and communication hub and an organization-wide front door into all other aspects of People Innovation Labs’ work. OpenHouse and other products in our portfolio are built by full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with People Innovation Labs leadership and software engineers and the People Analytics team to build the data systems that enable this work.
In this role, you will:
- Design, build and manage people data pipelines, ensuring all data is seamlessly integrated into our Databricks warehouse.
- Develop canonical datasets to track key people metrics and People Innovation Labs product metrics.
- Work collaboratively with various teams, including, Data Platform, Data Science, People Analytics, and Compensation and Equity 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 as the primary data engineering expert on the team.
- Ensure the security, integrity, and compliance of data according to industry and company standards.
Your background might look something like:
- 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 data warehousing technologies such as Databricks and Snowflake, and expertise with ETL schedulers such as Fivetran, Airflow, Dagster, Prefect, or similar.
- Experience with distributed processing technologies and frameworks, such as Spark, Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
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.
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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.