Machine Learning Engineer, Monetization AI/ML
AI · 56 roles open in software and data
- Location: San Francisco
- Pay: $381k–$555k a year
- Posted: Posted
About the role
The Monetization team builds foundational systems for responsible AI access, including new ad experiences. The machine learning engineer deploys state-of-the-art models into production, optimizes them for performance, and collaborates with cross-functional partners to deliver AI-powered solutions.
Our summary of the posting; the original is on the OpenAI careers page.
What the posting requires
- Required
- PyTorch
- Data structures
- LLM training
- Tensorflow
- Algorithms
- Fine-tuning
- Software engineering
- Distillation
- Supervised fine-tuning
- Policy optimization
- Preferred
- Machine learning models
- Data pipelines
- Model optimization
- Deployment
- Scalability
- Performance
These tags are our reading of the posting. They can miss something; the original posting is the reference.
Do you qualify?
Each requirement checked against your resume, in about a minute. No account. Your resume is deleted when the verdict appears.