Machine Learning Scientist III - Rankings & Personalization
hace 2 días
London
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. Expedia Group’s Search AI team is at the forefront of transforming how millions of travelers discover and book their journeys. As part of Expedia Product & Technology, we build intelligent systems that power search and ranking experiences across our global platform. We are now seeking a Machine Learning Scientist III to help shape the future of travel search by applying cutting-edge machine learning techniques, including Large Language Models (LLMs) and Generative AI, to solve complex, high-impact problems. This is a unique opportunity to work on high-visibility projects that directly influence the experience of millions of users. You’ll collaborate with a diverse group of engineers, analysts, and product managers to design, build, and deploy scalable ML solutions that personalize and optimize search results across Expedia’s brands. In this role, you will: • Research, design, and implement advanced ML and GenAI models for large-scale ranking and personalization., • Build, test, deploy, and iterate on ML models in production with measurable impact, validated by robust experimentation (A/B tests and online metrics)., • Combine state-of-the-art ML (deep learning, representation learning) with proven approaches (learning to rank, collaborative filtering)., • Collaborate cross-functionally with engineers, data analysts, and product partners to deliver robust, scalable, and impactful solutions., • Stay abreast of advances in ML, GenAI, and academic research to infuse innovation. Technologies and tools you will use and own: • PyTorch & TensorFlow: for large-scale development and training of deep learning models., • Spark/Distributed Systems: for large data processing and model training at scale., • A/B Experimentation Platforms: design, monitor, and analyze online experiments., • Cloud ML Pipelines and Tools: to efficiently deploy, monitor, and iterate on models in production. Minimum Qualifications: • PhD in Computer Science, Engineering, Statistics, Math, or related., • 4+ years of applied Machine Learning experience with end-to-end model lifecycle., • High proficiency in Python and at least one major ML framework (PyTorch, TensorFlow)., • Strong foundation in ML, statistics, ranking algorithms, and online experimentation. Preferred Qualifications: • Experience with ranking/recommender systems at scale., • Deep understanding of recent LLM and generative AI architectures with experience fine-tuning and deploying them., • Experience processing large-scale data via distributed systems (Spark, Hadoop, etc.)., • Excellent communication and collaboration across engineering, analytics, and product teams., • Track record of impact through production ML systems and/or peer-reviewed publications. 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™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 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.
