Machine Learning Engineer, Monetization AI/ML

Work on monetization systems that turn research into production impact. OpenAI’s Monetization group is a new cross-functional team partnering across engineering, product, research, and design to build the foundational systems that help OpenAI scale access to intelligence responsibly. In this role, you will help deploy state-of-the-art machine learning models in production and support user-first, privacy-preserving monetization products, including next-generation ads experiences.

Location: San Francisco, CA (onsite)

Compensation: USD 381,000 - 555,000 per yearly + offers equity

What you’ll get

• $381K – $555K + Offers Equity
• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave: up to 24 weeks for birth parents and 20 weeks for non-birthing parents, plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, plus multiple paid coordinated company office closures; paid sick or safe time (1 hour per 30 hours worked, or more as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend
• Daily meals in the office and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits may be provided, such as charitable donation matching and wellness stipends
• More details on benefits are shared with candidates during the hiring process
• This role is at-will, and OpenAI may modify base pay and other compensation components based on individual performance, team or company results, or market conditions.

About the role

As a Research Engineer in OpenAI’s Monetization Group, you will help move from prototype to iterative deployment by designing and deploying advanced machine learning models that solve real-world problems. You will monitor and maintain deployed models to ensure they continue delivering value, while collaborating closely with researchers, software engineers, and product managers.

Responsibilities

• Innovate and Deploy: design and deploy advanced machine learning models to address real-world problems
• Collaborate across teams: partner with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions
• Optimize and Scale: implement scalable data pipelines and ensure model accuracy and production readiness
• Learn and Lead: stay current with developments in machine learning and AI; participate in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices
• Make a Difference: monitor and maintain deployed models so they continue delivering value

Requirements

• Master’s or PhD degree in Computer Science, Machine Learning, Data Science, or a related field
• Demonstrated experience in deep learning and transformer models
• Proficiency in frameworks such as PyTorch or TensorFlow
• Strong foundation in data structures, algorithms, and software engineering principles
• Experience with search relevance, ads ranking, or LLMs is a plus
• Familiarity with methods for training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
• Excellent problem-solving and analytical skills with a proactive approach
• Ability to work collaboratively with cross-functional teams
• Ability to move fast in an environment where priorities or deadlines may compete
• Enjoy owning problems end-to-end and filling knowledge gaps to get the work done

Technologies

• PyTorch
• Tensorflow

About the team

The Monetization team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. The team’s mission is to develop user-first, privacy-preserving monetization products that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity, with safety and human needs at the core.