OpenAI

Full-Stack SWE, Data Acquisition (Foundations)

OpenAI • $135K — $160K *
San Francisco, CA 94112In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • BS/MS/PhD in Computer Science or related field
  • 4+ years of industry experience in full-stack development
  • Proficiency in frontend frameworks (React, Vue) and backend technologies (Python, Node.js, Go)
  • Strong expertise in RESTful APIs, GraphQL, and database design (SQL, NoSQL)
  • Experience building data-intensive applications that handle large-scale datasets
  • Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker)
  • Prior experience with web crawling and large-scale data processing is a plus

Responsibilities

  • Develop and maintain full-stack applications supporting data acquisition, including internal tools and dashboards
  • Collaborate with cross-functional teams to ensure seamless data ingestion and workflow management
  • Design and implement APIs for data interactions between internal services and external data sources
  • Enhance user experience by developing intuitive web interfaces for managing data pipelines
  • Optimize backend services for performance, scalability, and security in a distributed environment
  • Work with legal and compliance teams to ensure data acquisition processes adhere to regulations
  • Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code methodologies
  • Analyze system performance, conduct experiments, and improve data workflows

Benefits

  • Collaborative work environment with cross-functional teams
  • Opportunities for growth and skill development in cutting-edge technologies
  • Engagement in projects with a significant impact on data infrastructure
  • Flexibility in work arrangements
  • Chance to work with advanced AI technologies and methodologies
Full Job Description
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.


About OpenAI

OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
Learn more about OpenAI
Size
100 employees
Industry
Information Technology
Founded
2015
* Ladders Estimates

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