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Software Engineer, Scaled Abuse Careers at OpenAI - San Francisco, California | Apply Now!

OpenAI

Software Engineer, Scaled Abuse Careers at OpenAI - San Francisco, California | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Software Engineer, Scaled Abuse at OpenAI - San Francisco Career Opportunity

Join OpenAI's Fraud Engineering team as a Software Engineer, Scaled Abuse and become a critical defender of our cutting-edge AI platform. Located in the heart of San Francisco, California, this senior-level role offers you the chance to architect next-generation anti-fraud systems that protect millions of users while powering innovative AI applications like ChatGPT, DALL·E, and GPT-5 APIs.

Role Overview

The Applied Engineering team at OpenAI is at the forefront of safely deploying artificial intelligence to the world. We've launched transformative products including ChatGPT, Plugins, DALL·E, and advanced APIs for GPT-5, embeddings, and fine-tuning. Our infrastructure handles massive scale while maintaining the highest standards of safety and responsibility.

Within this elite organization, the Fraud Engineering team specializes in identifying and neutralizing fraudsters and abusers who threaten our platform. As a Software Engineer, Scaled Abuse, you'll design and implement sophisticated detection systems that balance fraud prevention, operational costs, and exceptional customer experiences. This isn't just about stopping bad actors—it's about staying multiple steps ahead of sophisticated, well-resourced adversaries in the rapidly evolving AI landscape.

Our San Francisco headquarters places you at the epicenter of AI innovation, working alongside brilliant minds who prioritize safe deployment over unchecked growth. You'll leverage our modern tech stack—Terraform, Kubernetes, Azure, Python, Postgres, Kafka—and integrate frontier AI models like GPT-5 to create fraud prevention systems that were previously unimaginable.

Key Responsibilities

Your impact will be immediate and profound. Here's what you'll tackle daily:

  • Architect scalable fraud detection pipelines processing billions of API calls
  • Build real-time remediation systems that automatically neutralize threats
  • Collaborate cross-functionally with finance, security, product, research, and Trust & Safety operations
  • Leverage GPT-5 and future foundation models for advanced behavioral analysis
  • Conduct forensic investigations into sophisticated fraud campaigns
  • Develop machine learning models for anomaly detection and risk scoring
  • Optimize systems for cost-efficiency while maintaining >99% detection rates
  • Create executive dashboards tracking fraud metrics and prevention efficacy
  • Research emerging fraud techniques from dark web forums and threat intelligence
  • Mentor team members on anti-abuse best practices and engineering rigor
  • Design A/B experiments testing new detection strategies
  • Contribute to platform-wide security hardening initiatives
  • Stay ahead of adversaries through continuous learning and tool development

Every decision you make directly protects OpenAI's mission to benefit all of humanity through safe AI deployment.

Qualifications

We're seeking battle-tested engineers who thrive in high-stakes environments:

  • 5+ years backend/data systems engineering experience at scale
  • 2+ years hands-on fraud/abuse detection, investigation, or operations
  • Proven ability to reverse-engineer complex fraud schemes
  • Deep intuition for scalable system architecture and optimization
  • Insatiable curiosity and rapid learning capability
  • Exceptional cross-functional collaboration skills
  • Comfort with ambiguity and rapidly evolving priorities
  • Experience with ML techniques (highly preferred)
  • Familiarity with our stack: Python, Kubernetes, Terraform, Azure, Postgres, Kafka
  • Track record balancing security with customer experience

While specific tool experience helps, we prioritize engineering excellence and adaptability over exact stack matches.

Salary & Benefits

Competitive Compensation: Total compensation for this senior role ranges from $220,000 - $350,000 USD annually, including base salary, equity, and performance bonuses. Exact figures depend on experience and location.

Comprehensive Benefits Package:

  • Top-tier medical, dental, vision coverage
  • 401(k) with generous matching
  • Unlimited PTO policy
  • Parental leave (16+ weeks)
  • Learning stipends for conferences/courses
  • Fitness and wellness reimbursements
  • Commuter benefits
  • Stock options in unicorn AI leader
  • Fully stocked offices with healthy meals
  • Mental health support programs
  • Regular team offsites and social events
  • Flexible work arrangements

OpenAI invests heavily in keeping our team healthy, happy, and growing professionally.

Why Join OpenAI?

OpenAI isn't just another tech company—we're building the future of intelligence. Our work powers applications used by millions daily, from enterprise solutions to consumer breakthroughs. The Fraud Engineering team occupies a mission-critical position: protecting this technology from abuse while enabling safe, responsible innovation.

Key Advantages:

  • Work with GPT-5 and future frontier models before public release
  • Solve problems at unprecedented scale and complexity
  • Directly impact AI safety and humanity's future
  • Collaborate with world-class researchers and engineers
  • Generous equity upside in a $80B+ valuation company
  • San Francisco HQ in vibrant tech ecosystem

Our culture emphasizes impact over process, curiosity over credentials, and safety above all. If you burn to protect cutting-edge technology from sophisticated adversaries, this is your arena.

How to Apply

Ready to safeguard the future of AI? Our application process is straightforward:

  1. Submit Application: Upload resume, LinkedIn, and optional cover letter
  2. Technical Screen: 45-minute conversation about your experience
  3. Technical Deep Dive: Live coding and system design (90 minutes)
  4. Fraud Case Study: Analyze real-world fraud scenarios
  5. Team Interviews: Meet your future colleagues
  6. Offer: Competitive package within 2 weeks

Timeline: We move fast. Apply today—positions fill quickly. Direct applications receive priority consideration over recruiters.

OpenAI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Keywords: software engineer fraud detection OpenAI careers, anti-abuse engineering jobs San Francisco, AI security engineer, backend fraud prevention roles, GPT-5 fraud systems.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangehigh confidence

231,000 - 385,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Fraud Detectionintermediate
  • Abuse Preventionintermediate
  • Backend Engineeringintermediate
  • Data Systemsintermediate
  • Python Programmingintermediate
  • Kubernetesintermediate
  • Terraformintermediate
  • Azure Cloudintermediate
  • Postgres Databaseintermediate
  • Kafka Streamingintermediate
  • Machine Learningintermediate
  • AI Integrationintermediate
  • Security Engineeringintermediate
  • Risk Analysisintermediate
  • Real-time Systemsintermediate
  • Scalable Architectureintermediate
  • DevOpsintermediate
  • API Developmentintermediate
  • Threat Modelingintermediate
  • Behavioral Analyticsintermediate

Required Qualifications

  • 5+ years of software engineering experience in backend and data systems (experience)
  • 2+ years of experience in fraud or abuse analysis, investigation, or operations (experience)
  • Proven ability to dive into complex codebases and intuit system architecture (experience)
  • Strong intuition for engineering improvements and optimizations (experience)
  • Voracious desire to learn new skills and technologies rapidly (experience)
  • Excellent communication skills for sharing knowledge clearly and concisely (experience)
  • Comfortable operating in ambiguous, rapidly changing environments (experience)
  • Ability to add structure and order to chaotic situations (experience)
  • Experience with machine learning techniques (preferred) (experience)
  • Familiarity with infrastructure tools like Terraform, Kubernetes, Azure (experience)
  • Understanding of fraud detection systems and adversarial tactics (experience)
  • Experience collaborating cross-functionally with finance, security, and product teams (experience)
  • Track record of balancing fraud prevention with customer experience (experience)

Responsibilities

  • Design scalable fraud detection systems balancing loss prevention, costs, and UX
  • Build real-time remediation workflows for abusive platform activity
  • Collaborate with finance, security, product, research, and trust & safety teams
  • Conduct deep investigations into sophisticated fraud patterns
  • Architect next-generation anti-fraud infrastructure using modern ML models
  • Integrate GPT-5 and future AI models into fraud detection pipelines
  • Monitor and respond to emerging fraud techniques from well-resourced adversaries
  • Develop behavioral analytics and anomaly detection algorithms
  • Optimize detection systems for high-volume API traffic
  • Create dashboards and alerting systems for fraud operations
  • Perform A/B testing of fraud prevention strategies
  • Document fraud patterns and contribute to internal knowledge bases
  • Stay ahead of industry fraud trends through research and vendor evaluation
  • Mentor junior engineers on fraud engineering best practices

Benefits

  • general: Comprehensive medical, dental, and vision insurance plans
  • general: 401(k) retirement plan with generous company matching
  • general: Unlimited PTO with encouraged recharge periods
  • general: Mental health support through dedicated counseling services
  • general: Fitness reimbursement and wellness stipends
  • general: Learning and development budget for conferences and courses
  • general: Stock options in a high-growth AI company
  • general: Generous parental leave policies for all parents
  • general: Commuter benefits and transportation stipends
  • general: Fully stocked kitchens with healthy food options
  • general: Regular team offsites and company-wide events
  • general: Flexible work hours with focus on results over hours
  • general: Cutting-edge technology stack and tools
  • general: Direct impact on world-changing AI products

Target Your Resume for "Software Engineer, Scaled Abuse Careers at OpenAI - San Francisco, California | Apply Now!" , OpenAI

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Tags & Categories

software engineer scaled abuse openaifraud detection engineer san franciscoanti abuse engineering careersopenai fraud engineering jobsai security engineer openaibackend fraud prevention rolesgpt-5 fraud detection systemssoftware engineer abuse preventionopenai applied engineering careersfraud engineer kubernetes pythonsan francisco ai security jobstrust and safety engineering openaimachine learning fraud detectionapi abuse prevention engineeropenai software engineer salarysenior fraud engineer careersazure kafka fraud systemsai platform security engineeringbehavioral analytics engineerreal-time fraud detection jobsopenai san francisco engineeringabuse detection machine learningApplied AI

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OpenAI logo

Software Engineer, Scaled Abuse Careers at OpenAI - San Francisco, California | Apply Now!

OpenAI

Software Engineer, Scaled Abuse Careers at OpenAI - San Francisco, California | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Software Engineer, Scaled Abuse at OpenAI - San Francisco Career Opportunity

Join OpenAI's Fraud Engineering team as a Software Engineer, Scaled Abuse and become a critical defender of our cutting-edge AI platform. Located in the heart of San Francisco, California, this senior-level role offers you the chance to architect next-generation anti-fraud systems that protect millions of users while powering innovative AI applications like ChatGPT, DALL·E, and GPT-5 APIs.

Role Overview

The Applied Engineering team at OpenAI is at the forefront of safely deploying artificial intelligence to the world. We've launched transformative products including ChatGPT, Plugins, DALL·E, and advanced APIs for GPT-5, embeddings, and fine-tuning. Our infrastructure handles massive scale while maintaining the highest standards of safety and responsibility.

Within this elite organization, the Fraud Engineering team specializes in identifying and neutralizing fraudsters and abusers who threaten our platform. As a Software Engineer, Scaled Abuse, you'll design and implement sophisticated detection systems that balance fraud prevention, operational costs, and exceptional customer experiences. This isn't just about stopping bad actors—it's about staying multiple steps ahead of sophisticated, well-resourced adversaries in the rapidly evolving AI landscape.

Our San Francisco headquarters places you at the epicenter of AI innovation, working alongside brilliant minds who prioritize safe deployment over unchecked growth. You'll leverage our modern tech stack—Terraform, Kubernetes, Azure, Python, Postgres, Kafka—and integrate frontier AI models like GPT-5 to create fraud prevention systems that were previously unimaginable.

Key Responsibilities

Your impact will be immediate and profound. Here's what you'll tackle daily:

  • Architect scalable fraud detection pipelines processing billions of API calls
  • Build real-time remediation systems that automatically neutralize threats
  • Collaborate cross-functionally with finance, security, product, research, and Trust & Safety operations
  • Leverage GPT-5 and future foundation models for advanced behavioral analysis
  • Conduct forensic investigations into sophisticated fraud campaigns
  • Develop machine learning models for anomaly detection and risk scoring
  • Optimize systems for cost-efficiency while maintaining >99% detection rates
  • Create executive dashboards tracking fraud metrics and prevention efficacy
  • Research emerging fraud techniques from dark web forums and threat intelligence
  • Mentor team members on anti-abuse best practices and engineering rigor
  • Design A/B experiments testing new detection strategies
  • Contribute to platform-wide security hardening initiatives
  • Stay ahead of adversaries through continuous learning and tool development

Every decision you make directly protects OpenAI's mission to benefit all of humanity through safe AI deployment.

Qualifications

We're seeking battle-tested engineers who thrive in high-stakes environments:

  • 5+ years backend/data systems engineering experience at scale
  • 2+ years hands-on fraud/abuse detection, investigation, or operations
  • Proven ability to reverse-engineer complex fraud schemes
  • Deep intuition for scalable system architecture and optimization
  • Insatiable curiosity and rapid learning capability
  • Exceptional cross-functional collaboration skills
  • Comfort with ambiguity and rapidly evolving priorities
  • Experience with ML techniques (highly preferred)
  • Familiarity with our stack: Python, Kubernetes, Terraform, Azure, Postgres, Kafka
  • Track record balancing security with customer experience

While specific tool experience helps, we prioritize engineering excellence and adaptability over exact stack matches.

Salary & Benefits

Competitive Compensation: Total compensation for this senior role ranges from $220,000 - $350,000 USD annually, including base salary, equity, and performance bonuses. Exact figures depend on experience and location.

Comprehensive Benefits Package:

  • Top-tier medical, dental, vision coverage
  • 401(k) with generous matching
  • Unlimited PTO policy
  • Parental leave (16+ weeks)
  • Learning stipends for conferences/courses
  • Fitness and wellness reimbursements
  • Commuter benefits
  • Stock options in unicorn AI leader
  • Fully stocked offices with healthy meals
  • Mental health support programs
  • Regular team offsites and social events
  • Flexible work arrangements

OpenAI invests heavily in keeping our team healthy, happy, and growing professionally.

Why Join OpenAI?

OpenAI isn't just another tech company—we're building the future of intelligence. Our work powers applications used by millions daily, from enterprise solutions to consumer breakthroughs. The Fraud Engineering team occupies a mission-critical position: protecting this technology from abuse while enabling safe, responsible innovation.

Key Advantages:

  • Work with GPT-5 and future frontier models before public release
  • Solve problems at unprecedented scale and complexity
  • Directly impact AI safety and humanity's future
  • Collaborate with world-class researchers and engineers
  • Generous equity upside in a $80B+ valuation company
  • San Francisco HQ in vibrant tech ecosystem

Our culture emphasizes impact over process, curiosity over credentials, and safety above all. If you burn to protect cutting-edge technology from sophisticated adversaries, this is your arena.

How to Apply

Ready to safeguard the future of AI? Our application process is straightforward:

  1. Submit Application: Upload resume, LinkedIn, and optional cover letter
  2. Technical Screen: 45-minute conversation about your experience
  3. Technical Deep Dive: Live coding and system design (90 minutes)
  4. Fraud Case Study: Analyze real-world fraud scenarios
  5. Team Interviews: Meet your future colleagues
  6. Offer: Competitive package within 2 weeks

Timeline: We move fast. Apply today—positions fill quickly. Direct applications receive priority consideration over recruiters.

OpenAI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Keywords: software engineer fraud detection OpenAI careers, anti-abuse engineering jobs San Francisco, AI security engineer, backend fraud prevention roles, GPT-5 fraud systems.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangehigh confidence

231,000 - 385,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Fraud Detectionintermediate
  • Abuse Preventionintermediate
  • Backend Engineeringintermediate
  • Data Systemsintermediate
  • Python Programmingintermediate
  • Kubernetesintermediate
  • Terraformintermediate
  • Azure Cloudintermediate
  • Postgres Databaseintermediate
  • Kafka Streamingintermediate
  • Machine Learningintermediate
  • AI Integrationintermediate
  • Security Engineeringintermediate
  • Risk Analysisintermediate
  • Real-time Systemsintermediate
  • Scalable Architectureintermediate
  • DevOpsintermediate
  • API Developmentintermediate
  • Threat Modelingintermediate
  • Behavioral Analyticsintermediate

Required Qualifications

  • 5+ years of software engineering experience in backend and data systems (experience)
  • 2+ years of experience in fraud or abuse analysis, investigation, or operations (experience)
  • Proven ability to dive into complex codebases and intuit system architecture (experience)
  • Strong intuition for engineering improvements and optimizations (experience)
  • Voracious desire to learn new skills and technologies rapidly (experience)
  • Excellent communication skills for sharing knowledge clearly and concisely (experience)
  • Comfortable operating in ambiguous, rapidly changing environments (experience)
  • Ability to add structure and order to chaotic situations (experience)
  • Experience with machine learning techniques (preferred) (experience)
  • Familiarity with infrastructure tools like Terraform, Kubernetes, Azure (experience)
  • Understanding of fraud detection systems and adversarial tactics (experience)
  • Experience collaborating cross-functionally with finance, security, and product teams (experience)
  • Track record of balancing fraud prevention with customer experience (experience)

Responsibilities

  • Design scalable fraud detection systems balancing loss prevention, costs, and UX
  • Build real-time remediation workflows for abusive platform activity
  • Collaborate with finance, security, product, research, and trust & safety teams
  • Conduct deep investigations into sophisticated fraud patterns
  • Architect next-generation anti-fraud infrastructure using modern ML models
  • Integrate GPT-5 and future AI models into fraud detection pipelines
  • Monitor and respond to emerging fraud techniques from well-resourced adversaries
  • Develop behavioral analytics and anomaly detection algorithms
  • Optimize detection systems for high-volume API traffic
  • Create dashboards and alerting systems for fraud operations
  • Perform A/B testing of fraud prevention strategies
  • Document fraud patterns and contribute to internal knowledge bases
  • Stay ahead of industry fraud trends through research and vendor evaluation
  • Mentor junior engineers on fraud engineering best practices

Benefits

  • general: Comprehensive medical, dental, and vision insurance plans
  • general: 401(k) retirement plan with generous company matching
  • general: Unlimited PTO with encouraged recharge periods
  • general: Mental health support through dedicated counseling services
  • general: Fitness reimbursement and wellness stipends
  • general: Learning and development budget for conferences and courses
  • general: Stock options in a high-growth AI company
  • general: Generous parental leave policies for all parents
  • general: Commuter benefits and transportation stipends
  • general: Fully stocked kitchens with healthy food options
  • general: Regular team offsites and company-wide events
  • general: Flexible work hours with focus on results over hours
  • general: Cutting-edge technology stack and tools
  • general: Direct impact on world-changing AI products

Target Your Resume for "Software Engineer, Scaled Abuse Careers at OpenAI - San Francisco, California | Apply Now!" , OpenAI

Get personalized recommendations to optimize your resume specifically for Software Engineer, Scaled Abuse Careers at OpenAI - San Francisco, California | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Software Engineer, Scaled Abuse Careers at OpenAI - San Francisco, California | Apply Now!" , OpenAI

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

software engineer scaled abuse openaifraud detection engineer san franciscoanti abuse engineering careersopenai fraud engineering jobsai security engineer openaibackend fraud prevention rolesgpt-5 fraud detection systemssoftware engineer abuse preventionopenai applied engineering careersfraud engineer kubernetes pythonsan francisco ai security jobstrust and safety engineering openaimachine learning fraud detectionapi abuse prevention engineeropenai software engineer salarysenior fraud engineer careersazure kafka fraud systemsai platform security engineeringbehavioral analytics engineerreal-time fraud detection jobsopenai san francisco engineeringabuse detection machine learningApplied AI

Answer 10 quick questions to check your fit for Software Engineer, Scaled Abuse Careers at OpenAI - San Francisco, California | Apply Now! @ OpenAI.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.