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
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.
