Expedia Group brands power global travel for everyone everywhere We design cutting-edge tech to make travel smoother and more memorable and we create groundbreaking solutions for our partners Our diverse vibrant and welcoming community is essential in driving our success Why Join Us To shape the future of travel people must come first Guided by our Values and Leadership Agreements we foster an open culture where everyone belongs differences are celebrated and know that when one of us wins we all win We provide a full benefits package including exciting travel perks generous time-off parental leave a flexible work model with some pretty cool offices and career development resources all to fuel our employees passion for travel and ensure a rewarding career journey We re building a more open world Join us Responsibilities People Team Leadership Lead mentor and grow a high-performing engineering team of backend data and MLE engineers Foster a strong engineering culture focused on quality ownership reliability and learning Manage hiring performance coaching and career development Drive clarity alignment and collaboration across engineering data science and product teams Technical Leadership Provide technical direction for the hybrid graph-semantic tagging system including Knowledge graph architecture and taxonomy evolution Semantic embedding generation tags POIs review text Hybrid retrieval graph traversal semantic search Re-ranking and validation using cross-encoders and LLM-based judges Set the vision and roadmap for the platform based on product needs ML advancements and scalability requirements Oversee design reviews system architectures data modeling and performance optimizations Execution Delivery Own the delivery of reliable scalable data pipelines that ingest transform and enrich billions of data points reviews POIs tags Ensure low-latency and cost-efficient vector search graph operations and re-ranking workloads Implement robust deployment patterns for Neo4j or other graph databases ensuring secure schema evolution and zero-downtime ingestion Drive best practices in observability automated testing experiment tracking and MLOps where applicable Ensure accurate periodic reprocessing of tag-to-POI relationships and continuous improvements to tagging quality Cross-Functional Collaboration Partner with Product to shape the tagging roadmap including new taxonomy initiatives improved discovery experiences and metadata enrichment Collaborate with Data Science and ML teams on model development embedding strategies and evaluation metrics Work with infra platform teams on scaling vector stores graph databases and GPU compute resources Communicate trade-offs timelines and technical decisions to stakeholders and leadership Qualifications Required 3-6 years of experience managing engineering teams with a strong technical background Experience leading teams working on search recommendation systems graph technologies or ML-driven data pipelines Hands-on experience with backend engineering Python Java Scala or similar Understanding of semantic search concepts embeddings vector stores similarity scoring Experience with ETL ELT pipelines and distributed data processing Strong systems design architectural thinking and technical decision-making Excellent communication and stakeholder management skills Preferred Experience with knowledge graphs Neo4j Neptune JanusGraph and graph query patterns Background in search recommendation retrieval ranking re-ranking or relevance modeling Familiarity with LLM-based validation or human-in-the-loop workflows Exposure to ML platforms MLOps or experiment tracking systems Experience scaling data ingestion for graph or vector systems Strong product intuition for discovery classification and metadata quality Why Join Us Lead a high-impact team working at the intersection of graph systems semantic search and ML Solve complex problems around tagging accuracy coverage and global scalability Influence the architecture that powers content discovery for millions of travelers Drive innovation in hybrid retrieval embedding modeling and knowledge graph evolution Work with highly collaborative teams across Product DS ML and Engineering Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions please reach out to our Recruiting Accommodations Team through the We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes TIME Disability IN and others Expedia Group s family of brands includes Brand Expedia Hotels com Expedia Partner Solutions Vrbo trivago Orbitz Travelocity Hotwire Wotif ebookers CheapTickets Expedia Group TM Media Solutions Expedia Local Expert CarRentals com TM and Expedia Cruises TM 2024 Expedia Inc All rights reserved Trademarks and logos are the property of their respective owners CST 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group s Talent Acquisition and hiring teams Never provide sensitive personal information to someone unless you re confident who the recipient is Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact Our email domain is expediagroup com The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce All qualified applicants will receive consideration for employment without regard to race religion gender sexual orientation national origin disability or age