Member of Technical Staff (Machine Learning Engineer, Ranking Quality - Search)

Highlights

• Improve search quality across the middle and later ranking stages.
• Own ambiguous ranking-quality problems end to end and ship safely.
• Advance quality through models, data, evaluation and infrastructure.

Ideal candidate

Ranking generalist who thrives owning ambiguous problems end to end and cares deeply about search quality. Brings exceptional depth in neural ranking or production systems and sharp judgment on quality-latency trade-offs.

Requirements

• Deep understanding of search or recommender systems and their evaluation
• Proven ownership of a large-scale production ranking system or substantial class of quality problems
• Strong machine learning and software engineering skills across data, models, serving, and monitoring
• Ability to drive ambiguous, cross-team problems without continuous task decomposition
• Exceptional depth in either modern neural ranking methods or low-latency ranking systems and runtime