Browse 14 exciting jobs hiring in Search Ranking now. Check out companies hiring such as Grammarly, CookUnity, Notion Labs in Plano, Wichita, Honolulu.
Help build Grammarly’s AI Agent Platform as a Machine Learning Engineer, developing orchestration, routing, and LLM-powered models to create proactive, user-centered product experiences.
CookUnity is hiring a Staff Machine Learning Data Scientist to build production recommendation and personalization systems that help customers discover meals they'll love while driving measurable business impact.
Lead a small engineering team at Notion to improve search ranking, query understanding, and AI-powered search features that power the product's core experience and memory.
Lead the measurement, experimentation, and modeling for Scribd’s recommendation surfaces to drive measurable lifts in user engagement and business outcomes.
Lead the establishment of an AI & Results Quality program that drives rigorous evaluation, experimentation, and improvements across Harvey’s AI, search, and retrieval products.
ServiceNow is hiring a Staff Software Engineer to lead design and implementation of high-scale, GenAI-enhanced search capabilities for its intelligent platform.
Patreon is looking for a Senior Staff Machine Learning Engineer to lead architecture and productionization of large-scale recommendation, search, and ranking systems that help millions of fans discover creators.
Work on agentic search, embeddings, and transaction rails as a Member of Technical Staff at a seed-stage startup building the commerce layer for AI in San Francisco.
Lead end-to-end ML and LLM solutions in Coupang's Search and Discovery Product Engineering team to improve query understanding, recommendation, and ranking for millions of users.
Assembled is hiring a Software Engineer to develop scalable LLM infrastructure and autonomous AI agent features that improve customer support workflows.
Yahoo Search is hiring a Research Scientist to develop and operationalize state-of-the-art ML, NLP, and deep learning solutions that improve search relevance and user experience at scale.
Lead the technical strategy and architecture for Search & Recommendation in LinkedIn Talent Solutions, applying state-of-the-art AI (embeddings, semantic search, LLMs) to build scalable, high-impact hiring product features.
Work on production AI systems at R37 to build retrieval, ranking, categorization, and generative features for unstructured healthcare data that drive measurable business outcomes.
Lead and grow Shipt’s Search Data Science team to design and deliver AI-powered search, ranking, and personalization solutions that directly improve customer discovery and business outcomes.
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