Member of Technical Staff (Machine Learning Engineer, Ranking Quality - Search)
Core
Improve search quality across middle and later ranking stages by owning ambiguous problems end-to-end, building models, and shipping infrastructure.
Role type
Senior IC machine learning engineer (ranking quality)
Builds
Production ranking systems, neural and LLM-based models, low-latency inference pipelines
Domain
Search and recommender systems
Deliverable
production ML models
Required skills
neural ranking methods, low-latency ranking systems, large-scale production system ownership, model training and evaluation, feature computation, multi-stage cascades, deployment, monitoring, trade-off analysis
Preferred skills
deep understanding of search/recommender evaluation, cross-team problem solving
Technologies
LLMs, neural networks
Responsibilities
Define evaluation metrics, identify bottlenecks, build solutions, and ship safely; Train and evaluate retrieval, ranking, and classification models; Build and operate ranking infrastructure including feature computation and monitoring; Collaborate with Data, AI, Infrastructure, and Product teams
Seniority
Senior, hands-on IC
