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

Highlights

• Improve search quality across middle and later stages of ranking.
• Own ranking problems end to end from evaluation to safe shipping.
• Build and operate ranking infrastructure for deployment and monitoring.

Ideal candidate

Experienced ranking generalist who owns ambiguous quality problems end to end and obsesses over real search quality, balancing impact with latency, reliability and cost.

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
• Minimum 5 years of relevant industry experience