Machine Learning Engineer, Monetization AI/ML

Details

The Monetization team is a cross-functional group spanning engineering, product, research, and design. Its mission is to build user-first, privacy-preserving monetization products, including next-generation advertising experiences, while maintaining rigorous privacy and safety standards.

The team operates in a greenfield environment, moving quickly through prototyping, experimentation, and iterative deployment. It partners closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.

As a Research Engineer in the Monetization Group, you will deploy state-of-the-art models in production environments and help turn research breakthroughs into AI-driven applications.

Responsibilities

• Design and deploy advanced machine learning models that solve real-world problems.
• Bring research concepts into production implementations and create AI-driven applications.
• Collaborate with researchers, software engineers, and product managers to deliver AI-powered solutions.
• Implement scalable data pipelines and optimize models for performance and accuracy.
• Ensure machine learning systems are production-ready and scalable.
• Stay current with developments in machine learning and AI.
• Participate in code reviews, share knowledge, and promote high-quality engineering practices.
• Monitor and maintain deployed models to ensure they continue delivering value.
• Own problems end-to-end and work effectively in an environment with loosely defined requirements and competing priorities.

Requirements

• Master's or PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
• Demonstrated experience with deep learning and transformer models.
• Proficiency with machine learning frameworks such as PyTorch or TensorFlow.
• Strong foundation in data structures, algorithms, and software engineering principles.
• Familiarity with methods for training and fine-tuning large language models, including distillation, supervised fine-tuning, and policy optimization.
• Experience with search relevance, advertising ranking, or large language models is a plus.
• Excellent problem-solving and analytical skills.
• Ability to collaborate with cross-functional teams.
• Ability to move quickly and adapt in an environment with changing priorities and deadlines.

Benefits

• Equity, performance-related bonuses for eligible employees, and comprehensive benefits.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax Flexible Spending Accounts and commuter benefits.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, paid company holidays, office closures, and paid sick or safe time.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional benefits may include charitable donation matching and wellness stipends.

OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities. Background checks are administered in accordance with applicable law.