About the role
The team develops and oversees machine learning infrastructure and experimentation. The engineer applies advanced research, discusses system design, and communicates model outcomes to stakeholders. This position also influences the company's future direction for search and recommendation capabilities.
Our summary of the posting; the original is on the Thrive Market careers page.
What the posting requires
- Required
- Search
- Discovery systems
- Large language models
- LLMs
- Machine learning engineering
- ML papers
- ML infrastructure
- Presenting results
- MLOps
- Preferred
- Personalization
- Model versioning
- Recommendations
- CI/CD
- Ranking
- Monitoring
These tags are our reading of the posting. They can miss something; the original posting is the reference.