OpenAI

Software Engineer, Scaled Abuse

OpenAI4 days ago
Location

San Francisco

Type

Full Time

Salary

USD 230,000 – 385,000

Level

Senior

Role

Software Engineer

Posted

Apr 6, 2026

Full TimeSenior

The role

Summary

OpenAI's Scaled Abuse team is seeking a skilled Software Engineer to design and build advanced anti-fraud systems that protect the company's AI platforms. The ideal candidate will leverage technical expertise and analytical skills to develop robust fraud detection mechanisms while collaborating across multiple teams to safeguard OpenAI's innovative technologies.

What you'll do

Fraud Detection System Design: Architect and implement sophisticated anti-fraud systems that balance fraud prevention, cost-effectiveness, and user experience
Cross-Functional Collaboration: Work closely with finance, security, product, research, and trust & safety operations to develop comprehensive fraud mitigation strategies
Threat Monitoring: Stay informed about emerging fraud techniques and continuously evolve detection mechanisms to stay ahead of sophisticated adversaries
Advanced AI Fraud Prevention: Leverage GPT-5 and future AI models to enhance fraud detection and prevention capabilities

What we look for

Technical

Backend SystemsStrong experience in designing and developing backend and data systems
Programming LanguagesProficiency in Python and ability to work with complex infrastructure technologies
Infrastructure TechnologiesFamiliarity with Terraform, Kubernetes, Azure, Postgres, and Kafka

Education

Computer Science or Related FieldBachelor's degree in Computer Science, Software Engineering, or equivalent practical experience

Experience

Software EngineeringMinimum 5 years of software engineering experience in backend and data systems
Fraud AnalysisAt least 2 years of experience in fraud or abuse analysis, investigation, and/or operations

Skills

Required skills

Problem SolvingAbility to dive into complex codebases and intuit system architecture
AdaptabilityComfort with ambiguity and rapidly changing technological landscapes
Learning AgilityIntrinsic desire to learn and quickly fill skill gaps

Nice to have

Machine LearningExperience with machine learning techniques for advanced fraud detection

Compensation & benefits

Salary

USD 230,000 – 385,000 (annual)

Stock options

Available

Benefits

Equity

Stock options or equity compensation as part of the total package

Cutting-Edge Technology

Work on groundbreaking AI technologies with global impact

Inclusive Environment

Commitment to diversity, equal opportunity, and employee accommodations


Interview process

  1. 1
    Initial Screening Review of resume and initial qualifications
  2. 2
    Technical Phone Screen Detailed discussion of technical skills and experience
  3. 3
    Coding Challenge Assessment of problem-solving and coding abilities
  4. 4
    Onsite/Virtual Interviews Multiple interviews with team members, including technical and behavioral assessments
  5. 5
    Final Decision Comprehensive evaluation and job offer

Apply for this position

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