Software Engineer, Monetization AI/ML
Role details
Job location
Tech stack
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.
In this role, you'll architect and implement large-scale, high-performance ML-driven systems with rigorous requirements around latency, correctness, safety, privacy, and continuous improvement. You'll work on modern, transformer- and LLM-inspired architectures that move beyond traditional feature engineering toward more expressive, context-aware decisioning. Your work will have a direct revenue impact and make ChatGPT and other products accessible to more people with fewer usage limits or without having to pay.
This is a deeply technical, 01 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.
This role is exclusively based across our San Francisco and Seattle sites. We offer relocation assistance to new employees.
In this role, you will:
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
Have 6+ years of experience building and scaling ML-powered systems in production environments.
Have worked on ranking, recommendation, ads, marketplaces, or large-scale ML inference systems.
Are comfortable operating across the full stack - from model development to backend services and production deployment.
Enjoy deeply technical 01 problem spaces where architecture, strategy, and implementation are still being invented.
Have 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.