Machine Learning Engineer – Search & Retrieval Systems
Jobgether
United States
On-site
Information retrieval
Machine learning
Applied nlp
Jobgether is seeking a Machine Learning Engineer to develop and enhance search and retrieval systems for an AI-powered product in the U.S. The role involves building personalized, context-aware search capabilities that adapt to user behavior, blending machine learning and information retrieval
Job Summary
You will design how millions of items are surfaced, ranked, and personalized in response to dynamic user intent, ensuring results are fast, relevant, and context-aware.
Operating in a production-driven environment, you will work at the intersection of information retrieval, machine learning, and applied NLP to continuously improve ranking quality and system intelligence.
The role spans full ownership of the search stack—from retrieval and vector search to ranking models and business logic shaping final results.
Matching Summary
Match Score: 85
Jobgether is seeking a Machine Learning Engineer to develop and enhance search and retrieval systems for an AI-powered product in the U.S. The role involves building personalized, context-aware search capabilities that adapt to user behavior, blending machine learning and information retrieval.