Staff Machine Learning Engineer, Search Ranking

Staff ML Engineer to design, build, and lead search ranking models focusing on relevance, personalization, and user satisfaction at scale. Own major ranking initiatives from problem definition through experimentation and deployment. Develop models using learning-to-rank, deep retrieval, neural ranking, sequence models, and large-scale feature engineering; balance objectives like relevance, freshness, diversity, fairness, safety, and latency. Collaborate with product managers and engineers to define success metrics and long-term ranking roadmap. Improve offline evaluation, online experimentation, model monitoring, feature pipelines, and serving systems; mentor engineers and influence architecture across teams. Stay current with advances in search, retrieval-augmented systems, and ML infrastructure; drive velocity of model iterations and deployment. Qualities include strong ML fundamentals, embeddings, and experience with Spark/Flink/Beam and ML frameworks; effective communication with technical and non-technical stakeholders.