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Software Engineer, Monetization AI/ML

United States, San Francisco 230000.00 - 385000.00 USD / Year · Job Posted February 21, 2026
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Job Description

We’re looking for experienced Software Engineers to help build OpenAI’s foundational ads ranking and recommendation systems—the ML and AI platforms that determine how monetized experiences are selected, ordered, and optimized across OpenAI products. This is a deeply technical, 0→1 founding-stage role where you’ll operate across backend engineering, systems design, and applied AI/ML to help define the next generation of AI-native monetization and recommendation platforms.

Job Responsibility

  • Architect, build, and evolve large-scale ads ranking and recommendation systems using modern ML and AI techniques
  • Design and productionize LLM- and transformer-inspired models that leverage sequential signals, long-horizon context, and sparse or delayed feedback
  • Develop model-driven decision logic and inference pipelines that operate under real-world constraints around performance, reliability, and privacy
  • Partner closely with Product, Design, and Research to define requirements and translate ambiguous product goals into scalable ML systems
  • Prototype, experiment, and rapidly iterate on new model architectures and training approaches to improve relevance, quality, and efficiency
  • Build services and infrastructure that support training, evaluation, online inference, and continuous optimization of ML models
  • Establish strong measurement, experimentation, and debugging practices to understand model behavior and system-level outcomes
  • Contribute to technical strategy and help shape the long-term evolution of OpenAI’s monetization and recommendation stack
  • Embed safety, fairness, and policy considerations directly into model design and system architecture from first principles

Requirements

  • 6+ years of experience building and scaling ML-powered systems in production environments
  • Experience working on ranking, recommendation, ads, marketplaces, or large-scale ML inference systems
  • Comfortable operating across the full stack — from model development to backend services and production deployment
  • Enjoy deeply technical 0→1 problem spaces where architecture, strategy, and implementation are still being invented
  • Strong intuition for ML and system design tradeoffs, and can reason about long-term scalability and maintainability
  • Communicate clearly, collaborate effectively across disciplines, and think holistically about system behavior

What we offer

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided
  • Offers Equity
  • Performance-related bonus(es) for eligible employees

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