OpenAI
Machine Learning Engineer, Monetization AI/ML
About this role
Join OpenAI's Monetization team as a Machine Learning Engineer to design and deploy advanced AI models that power next-generation monetization products and ads experiences. You'll translate cutting-edge research into production systems at scale while collaborating with researchers, engineers, and product managers in a fast-moving, greenfield environment.
What you'll do
- Design and deploy advanced machine learning models for real-world monetization challenges
- Build and optimize scalable data pipelines for model training and inference
- Collaborate with researchers and product teams to translate AI breakthroughs into production systems
- Train, fine-tune, and optimize large language models using techniques like distillation and policy optimization
- Monitor and maintain deployed models to ensure sustained performance and value delivery
- Conduct code reviews and maintain high-quality engineering practices across the team
What they're looking for
- Deep learning and transformer model architecture
- PyTorch or TensorFlow
- Large language model training and fine-tuning
- Data structures and algorithms
- Production ML systems and scalability
- Search relevance or ads ranking systems
- Cross-functional collaboration
- End-to-end problem ownership
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OpenAI
OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.
View all jobs at OpenAILikely interview questions
- Describe your experience deploying machine learning models to production and how you ensured they scaled effectively.
- Walk us through a project where you fine-tuned or distilled a large language model—what challenges did you face?