Data Engineer, Core Experimentation

OpenAI
Seattle
Workplace: RemoteFull timeUSD 293,000 - 325,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 3+ yearsSkills: ["Python","Scala","Java","Spark","Hadoop","Flink","Airflow","Dagster","Prefect","HDFS","S3"]

Lead data engineering for OpenAI's experimentation platform by designing and building data pipelines and core tables that power analyses, product metrics, and safety systems. Collaborate with researchers behind ChatGPT and cross-functional teams to ensure trustworthy, scalable data infrastructure and compliant data handling in a rapidly growing AI environment.

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FursaFursa
OpenAI
OpenAI
4 months ago

Data Engineer, Core Experimentation

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 minutes agoStatus: Live

Job Summary

Lead data engineering for OpenAI's experimentation platform by designing and building data pipelines and core tables that power analyses, product metrics, and safety systems. Collaborate with researchers behind ChatGPT and cross-functional teams to ensure trustworthy, scalable data infrastructure and compliant data handling in a rapidly growing AI environment.
Location: Seattle
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Manager level

Key Responsibilities

  • •Design, build and manage 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.
  • •Collaborate with Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand 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 experience to bear.

Pay and Benefits

Salary: USD 293,000 - 325,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •3+ years of experience as a data engineer and 8+ years of any software engineering experience (including data engineering).
  • •Proficiency in Python, Scala, or Java.
  • •Experience with distributed processing technologies and frameworks (Hadoop, Flink) and distributed storage systems (HDFS, S3).
  • •Expertise with ETL schedulers such as Airflow, Dagster, or Prefect.
  • •Solid understanding of Spark and ability to write, debug and optimize Spark code.
Experience:3+ yearsAIData engineering
Skills:PythonScalaJavaSparkHadoopFlinkAirflowDagsterPrefectHDFSS3
Tech Stack:PythonScalaJavaSparkHadoopFlinkAirflowDagsterPrefectHDFSS3

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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