Join Expedia Group's Search AI team to shape the future of travel and build cutting-edge machine learning models. Work on Large Language Models and Generative AI to improve personalization and traveler experience. Collaborate with engineers and product partners to deliver robust solutions.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Machine Learning Specialist III
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.
The Search AI team is part of Expedia Product & Technology. We build state-of-the-art machine learning models that power search and ranking across Expedia Group, helping travelers find the right place to stay from millions of options worldwide.
We are looking for a Machine Learning Scientist III to join our Search AI team and help shape the next generation of ranking systems. You’ll be working on cutting-edge applications of Large Language Models (LLMs) and Generative AI, combining them with proven machine learning techniques to improve personalisation and traveler experience at scale.
In this role, you will:
- Research and design innovative ML and GenAI approaches for large-scale ranking and personalisation.
- Build, test, and deploy ML models into production with performance validated through online experimentation.
- Collaborate with engineers, analysts, and product partners to deliver robust, scalable, and business-driven solutions.
- Translate complex technical results into clear insights and recommendations for both technical and non-technical audiences.
- Stay current with advances in ML and GenAI to drive innovation within the team.
Minimum Qualifications:
- Master’s degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience.
- 4+ years of applied Machine Learning experience, with models built and maintained in a production environment.
- High proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow.
- A strong foundation in Machine Learning fundamentals, statistics, and experimentation.
Preferred Qualifications:
- Experience with ranking or recommender systems.
- Experience with recent Large Language Models (LLMs), including fine-tuning, efficient deployment, and architectures.
- Comfortable working with large-scale data and distributed systems (e.g., Spark).
- Effective communication skills and experience working across disciplines to solve complex problems
Location expectations
This role is based in London, in alignment with our flexible work model which requires employees to be in-office at least three days a week. Relocation assistance may be considered for qualified candidates.