About this role
Engineers who enjoy taking complete ownership of ambiguous problems and moving quickly through prototyping, experimentation, and iterative deployment will find a natural home here. OpenAI's Monetization group operates in a greenfield environment, bringing together engineering, product, research, and design to build privacy-preserving monetization products and next-generation ads experiences that scale access to intelligence responsibly.
Day-to-day work centers on bridging the gap between theoretical research and practical application. Team members design, deploy, and scale advanced machine learning models, build robust data pipelines, and maintain production systems that translate research breakthroughs into global solutions. By partnering closely with research and product counterparts, the group ensures that commercial features remain closely aligned with user value and safety standards.
This function exists to sustain OpenAI's long-term innovation and innovation capabilities while helping fund the broader mission to make general-purpose artificial intelligence broadly beneficial. Ideal candidates bring strong engineering foundations, deep learning expertise, and the flexibility to adapt to competing priorities in a fast-moving operational setting.
What you will do
- Design and deploy advanced machine learning models to solve real-world problems and bring research concepts into production.
- Collaborate closely with researchers, software engineers, and product managers to deliver AI-powered solutions.
- Implement scalable data pipelines and optimize models for performance and accuracy in production environments.
- Engage with the latest developments in machine learning while participating in code reviews and sharing knowledge with peers.
- Monitor and maintain deployed models to ensure ongoing value delivery for individuals, businesses, and society.
What you need
- Hold a Master's or PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
- Demonstrate hands-on experience working with deep learning and transformer models.
- Show proficiency in common machine learning frameworks such as PyTorch or TensorFlow.
- Maintain a strong foundation in data structures, algorithms, and general software engineering principles.
- Bring familiarity with large language model training and fine-tuning methods including distillation, supervised fine-tuning, and policy optimization.
- Possess excellent problem-solving skills alongside the ability to collaborate effectively in cross-functional settings.
Nice to have
- Experience with search relevance
- Experience with ads ranking
- Experience with large language models
Benefits
- Offers Equity
Skills and tech stack
Questions candidates ask
What team will I be working on?
You will join the Monetization team, a new cross-functional group working across engineering, product, research, and design to build foundational systems that scale access to intelligence responsibly.
What is the compensation for this role?
The salary range is listed as $381K to $555K alongside offered equity.
What tools and technologies will I use?
The work involves deep learning and transformer models, frameworks like PyTorch or TensorFlow, and methods for training and fine-tuning large language models.
What is the working environment like?
The team operates in a greenfield environment that moves quickly through prototyping, experimentation, and iterative deployment where things are sometimes loosely defined.