Full-Stack SWE, Data Acquisition (Foundations)
At a glance
Highlights
- Onsite in San Francisco
- Work on large-scale data infrastructure
- Cross‑functional collaboration with data teams
Heads up
- Onsite work required
Why this role might suit you
A candidate with solid full‑stack experience and a background in data‑intensive applications will thrive building and scaling OpenAI's data acquisition tools, collaborating across engineering and compliance teams in a high‑impact environment.
Skills
About the role
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 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.
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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.
Compensation
This Full-Stack Engineer role pays $293k-$385k/yr. Within typical range for full-stack engineer roles in United States.
Questions about this role
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