Senior Applied ML Engineer (Search)

Tech Stack

Responsibilities

• Design, train, and deploy ML models for retrieval, reranking, and search relevance in production.
• Build and optimise embedding-based indexing and large-scale retrieval systems.
• Develop models supporting crawling, data selection, and content understanding.
• Define and improve quality metrics for agent-native search and build evaluation pipelines.
• Work on systems operating at very large scale, including high-throughput query workloads.

Soft Skills

Benefits

• Flexible Hours
• Health Insurance

Culture