Machine Learning Engineer, Monetization AI/ML
OpenAI
Summary
The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our 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.
Job description
About the Team
The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our 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 Research Engineer in OpenAI's Monetization Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions.
In this role, you will:
- Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.
- Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions.
- Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready.
- Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.
- Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value.
You might thrive in this role if you:
- Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
- Demonstrated experience in deep learning and transformers 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.
- Are familiar with methods of 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 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 the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
Requirements
- Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
- Demonstrated experience in deep learning and transformers 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.
- Are familiar with methods of 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 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 the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Health savings accounts
- Health FSA
- Dependent care FSA
- Commuter expenses
- 401(k) retirement plan
- Paid parental leave
- Paid medical leave
- Paid caregiver leave
- Flexible PTO
- Paid company holidays
- Paid sick time
- Mental health support
- Life and disability coverage
- Learning and development stipend
- Daily meals
- Meal delivery credits
- Relocation support
- Charitable donation matching
- Wellness stipends
Company overview
OpenAI is an artificial intelligence research laboratory and company based in San Francisco, California. Founded in 2015 by Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, Wojciech Zaremba, and John Schulman, OpenAI initially operated as a non-profit research organization before transitioning to a capped-profit model. The company's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. OpenAI has developed groundbreaking AI technologies including GPT (Generative Pre-trained Transformer) models, DALL-E for image generation, and Codex for programming assistance. Their most notable product, ChatGPT, has revolutionized human-AI interaction and brought large language models to mainstream audiences. OpenAI conducts cutting-edge research in machine learning, natural language processing, computer vision, and reinforcement learning, while also developing practical AI applications that are transforming industries worldwide.