Member of Technical Staff (Machine Learning Engineer, Search)

The role

This role sits within the search org and focuses on advancing how the product finds and orders information. The engineer will work across models, data, and infrastructure to raise result quality. It is a hands-on building position that connects research-style model work with production delivery.

What you would do

• Drive gains in search relevance using any mix of modeling, data work, or tooling
• Design and implement key pieces of the search platform and its model stack
• Train and assess retrieval, ranking, and classification models, LLMs included
• Ship models of varying complexity to production with attention to scale and latency
• Create and tune retrieval-augmented generation flows for grounded answers
• Coordinate with data, AI, infrastructure, and product peers to keep delivery quick and sound

What they asked for

• Solid grasp of search and retrieval systems and how quality is measured
• Demonstrated history of working on large-scale search or recommendation systems
• Motivated to take initiative and see work through to completion
• At least five years of experience on search or recommender projects