Fullstack Engineer Intelligence Systems
@ OpenAI

Hybrid
$140,000
Hybrid
Full Time
Posted 8 hours ago

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XXXXXXXXXX XXXXXXXXX XXXXXXXXX******* @openai.com
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Job Details

About The Team

The Intelligence and Investigations team at OpenAI rapidly detects and disrupts abuse in AI technologies. Their work ensures the safe use of AI by identifying emerging trends, analyzing risks, and implementing effective mitigation strategies.

About The Role

As a Fullstack Engineer Intelligence Systems, you will advance OpenAI's Intelligence & Investigations efforts, building tools and processes to integrate models and infrastructure for analyzing large datasets, fighting abuse, and informing high-stakes decisions.

Key Responsibilities

  • Prototype, build, and maintain at-scale intelligence systems.
  • Analyze requirements and deliver end-to-end, scalable solutions.
  • Act as a technical bridge between data scientists and internal teams.
  • Develop user interfaces for investigators and analysts.
  • Automate workflows and report on system impacts.

Candidate Profile

The ideal candidate is a self-starter with a strong technical background in data analysis, SQL/Python, and scalable system development. Experience in security or intelligence-related product development, excellent communication skills, and a passion for responsible AI use are essential.

About OpenAI

OpenAI is a leading AI research and deployment company that ensures artificial intelligence benefits humanity. The company is dedicated to developing safe, innovative AI systems with a global perspective.

Key skills/competency

  • Intelligence
  • Investigations
  • Data Analysis
  • Prototyping
  • Scalability
  • SQL
  • Python
  • System Integration
  • Risk Analysis
  • AI Safety
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How to Get Hired at OpenAI

🎯 Tips for Getting Hired

  • Customize Your Resume: Tailor skills to OpenAI job requirements.
  • Showcase Projects: Highlight intelligence system and data analysis work.
  • Prepare for Technical Rounds: Practice coding and system design.
  • Research OpenAI: Understand mission, projects, and culture.
  • Network Strategically: Connect with current employees on LinkedIn.

📝 Interview Preparation Advice

Technical Preparation

Review system design and scalable architecture principles.
Practice coding challenges on SQL and Python.
Study data analysis techniques for large datasets.
Understand API integration and fullstack development.

Behavioral Questions

Describe conflict resolution in cross-team projects.
Explain a time when rapid prototyping was key.
Discuss coordination with non-technical team members.
Share examples of managing ambiguous problems.

Frequently Asked Questions