over 1 year ago
Base Salary
$293k - $385k/yr
Responsibilities
- Develop and maintain full-stack applications, internal tools, and dashboards for data acquisition.
- Collaborate with Data Processing, Architecture, and Scaling teams on data ingestion and workflow management.
- Design and implement APIs connecting internal services and external data sources.
- Build intuitive web interfaces for managing and monitoring data pipelines.
- Optimize backend services for performance, scalability, and security in a distributed computing environment.
- Partner with legal and compliance teams to support privacy-compliant data acquisition processes.
- Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code methodologies.
- Analyze system performance, conduct experiments, and improve data workflows for greater efficiency.
Requirements
- BS, MS, or PhD in Computer Science or a related field.
- At least 4 years of industry experience in full-stack development.
- Proficiency with frontend frameworks such as React or Vue and backend technologies such as Python, Node.js, or Go.
- Strong expertise in RESTful APIs, GraphQL, and SQL and NoSQL database design.
- Experience building data-intensive applications that handle large-scale datasets.
- Familiarity with AWS, GCP, or Azure and container orchestration tools including Kubernetes and Docker.
- Prior experience with web crawling and large-scale data processing is a plus.
- Strong problem-solving, communication, collaboration, and multitasking abilities.
Tech Stack
Categories
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.