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Machine Learning Engineer, Monetization AI/ML

OpenAI · San Francisco

unknownunknown$381,000–$555,000Posted Sep 21, 2026PyTorchTensorFlowTransformersLLMsDeep LearningData Pipelines

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About this role

**About the Team** The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. **About the Role** As a Research Engineer in OpenAI's Monetization Group, you’ll deploy state-of-the-art models in production environments—helping turn research breakthroughs into tangible solutions. **In this role, you will:** - **Innovate and Deploy:** Design and deploy advanced machine learning models that solve real-world problems; bring OpenAI research from concept to implementation. - **Collaborate with the Best:** Work with researchers, software engineers, and product managers to deliver AI-powered solutions. - **Optimize and Scale:** Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they’re production-ready. - **Learn and Lead:** Stay current with ML/AI developments; participate in code reviews, share knowledge, and maintain high-quality engineering practices. - **Make a Difference:** Monitor and maintain deployed models to ensure they continue delivering value. **You might thrive in this role if you have:** - A **Master’s/PhD** in Computer Science, Machine Learning, Data Science, or a related field. - Demonstrated experience in **deep learning** and **transformers**. - Proficiency with **PyTorch** or **TensorFlow**. - Strong foundation in **data structures, algorithms, and software engineering**. - Experience with **search relevance, ads ranking, or LLMs** (plus). - Familiarity with training/fine-tuning methods for large language models (e.g., **distillation**, **supervised fine-tuning**, **policy optimization**). - Excellent **problem-solving and analytical** skills, with a proactive approach. - Ability to work collaboratively with **cross-functional teams**. - Comfort moving fast in an environment where priorities may be loosely defined. - Ownership mindset—willing to learn whatever you need to get the job done. **About OpenAI** OpenAI is an AI research and deployment company dedicated to ensuring general-purpose AI benefits all of humanity. OpenAI is an equal opportunity employer. *Background checks and privacy/accessibility information are provided in the original posting.*

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