Machine Learning Engineer, Core Experimentation
AI · 56 roles open in software and data
- Location: Seattle
- Pay: $437k–$485k a year
- Posted: Posted
About the role
The team builds systems for experimentation and feature management. The machine learning engineer develops production systems that analyze product data to provide insights and support decision-making. This role involves building ML models, data pipelines, and backend services to ensure insights are traceable, calibrated, useful, and safe.
Our summary of the posting; the original is on the OpenAI careers page.
What the posting requires
- Required
- LLM
- Software engineering
- Python
- Data
- Product roadmap
- ML
- Retrieval systems
- Production systems
- Backend
- Technical roadmap
- Preferred
- Cross-experiment learning
- Predictive models
- Datasets
- Product workflows
- Reliable services
- Production ML quality
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.