Machine Learning Engineer, Monetization AI/ML

Join OpenAI’s Monetization group in a greenfield environment, where cross-functional teams move quickly from prototyping and experimentation to iterative deployment. The team’s mission is to build user-first, privacy-preserving monetization products, including next-generation ads experiences, to strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.

This role supports the broader effort to translate research breakthroughs into production-ready systems that help OpenAI scale access to intelligence responsibly.

What you’ll do

• Innovate and deploy: design and deploy advanced machine learning models to solve real-world problems.
• Collaborate with cross-functional partners: work with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions.
• Optimize and scale: implement scalable data pipelines with an emphasis on accuracy and ensure model solutions are production-ready.
• Learn and lead: stay current with the latest developments in machine learning and AI; participate in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.
• Monitor deployed models: monitor and maintain models in production to ensure they continue delivering value.

What you bring

• Master’s or PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
• Demonstrated experience in deep learning and transformers models.
• Proficiency with frameworks such as PyTorch or TensorFlow.
• Strong foundation in data structures, algorithms, and software engineering principles.
• Plus: experience with search relevance, ads ranking, or LLMs.
• Familiarity with training and fine-tuning large language models, including 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 may be loosely defined and may shift.
• Comfort owning problems end-to-end, including picking up missing knowledge to get the job done.

Technology

PyTorch, TensorFlow

Compensation and benefits

$381,000 - $555,000 per year + 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 for focus and recharge; 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 offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided
• More details about benefits available during the hiring process

Note: This role is at-will, and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

Location

San Francisco, CA (onsite)