Description
Compensation
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $381K – $555K, with generous equity, performance-related bonuses for eligible employees, and the following benefits.
Benefits include:
- 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, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends
About the Team
The Monetization team is a new cross-functional group working across engineering, product, research, and design to build foundational systems that will help OpenAI scale access to intelligence responsibly. The team's mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI's long-term innovation.
About the Role
As a Machine Learning Engineer in OpenAI's Monetization Group, you will contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. You will:
- Design and deploy advanced machine learning models that solve real-world problems
- Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions
- Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready
- Stay ahead of the curve by engaging with the latest developments in machine learning and AI
- Monitor and maintain deployed models to ensure they continue delivering value
Requirements
You might thrive in this role if you:
- Have a Master's/PhD degree in Computer Science, Machine Learning, Data Science, or a related field
- Demonstrated experience in deep learning and transformer models
- Proficiency in frameworks like 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 of training and fine-tuning large language models
- Excellent problem-solving and analytical skills, with a proactive approach to challenges
- Ability to work collaboratively with cross-functional teams
- Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
- Enjoy owning problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done