Member of Technical Staff Machine Learning Engineer Ranking Quality Search

You will own ranking-quality problems from evaluation and bottleneck identification through implementation and safe release. You will train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches. You will build ranking infrastructure for feature computation, low-latency inference, deployment, and monitoring while balancing quality, latency, reliability, cost, and complexity.

Responsibilities

• Improve search quality through models, data, evaluation, and infrastructure
• Own ranking-quality problems from evaluation through safe release
• Train and evaluate retrieval, ranking, and classification models
• Build and operate ranking infrastructure
• Balance quality, latency, reliability, cost, and engineering complexity
• Own final quality outcomes across cross-functional collaboration

Requirements

• Search system
• Recommender system
• Evaluation
• Production ranking system
• Machine learning
• Software engineering
• Data
• Model serving
• Monitoring
• Neural ranking
• Low-latency ranking system
• 5 years of industry experience