Dieses Stellenangebot ist nicht mehr verfügbar

XX
Expedia Group

Machine Learning Scientist III

  • +3
  • +5
  • GB
    London, England, United Kingdom
  • +3
  • +5
  • GB
    London, England, United Kingdom

Über

Join the Expedia Group Family!

At Expedia Group, we power global travel for everyone, everywhere. Our mission is to design cutting-edge technology that makes travel smoother and more memorable, while creating groundbreaking solutions for our partners. We believe that our diverse, vibrant, and welcoming community is essential to our success.

Why Join Us?

To truly shape the future of travel, we put people first. Guided by our core values and leadership agreements, we foster an open culture where everyone belongs. Here, differences are celebrated, and we know that when one of us wins, we all win!

We offer a comprehensive benefits package that includes:

  • Exciting travel perks
  • Generous time-off
  • Parental leave
  • Flexible work model (with some pretty cool offices)
  • Career development resources to fuel your passion for travel

Join us in building a more open world!

About the Role

The Search AI team, part of Expedia Product & Technology, is on the lookout for a Machine Learning Scientist III to help shape the next generation of ranking systems. You’ll be working with cutting-edge applications of Large Language Models (LLMs) and Generative AI, combining them with proven machine learning techniques to enhance personalization and traveler experience at scale.

Your Responsibilities

In this exciting role, you will:

  • Research and design innovative ML and GenAI approaches for large-scale ranking and personalization.
  • Build, test, and deploy ML models into production, validating performance 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

We’re looking for candidates who have:

  • A Master’s degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent 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

While not required, the following will make you stand out:

  • Experience with ranking or recommender systems.
  • Familiarity with recent Large Language Models (LLMs), including fine-tuning and efficient deployment.
  • Comfort working with large-scale data and distributed systems (e.g., Spark).
  • Effective communication skills and experience collaborating across disciplines to solve complex problems.
Location Expectations

This role is based in London, aligning 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.

Accommodation Requests

If you need assistance with any part of the application or recruiting process due to a disability or other health conditions, we are here to help!

Why Expedia Group?

We are proud to be recognized as a Best Place to Work on Glassdoor in 2024 and celebrated for our award-winning culture by organizations like Forbes, TIME, and Disability:IN.

Join us and be part of a family that includes renowned brands like Brand Expedia®, Hotels.com®, Vrbo®, and many more. Together, let’s create unforgettable travel experiences!

Wünschenswerte Fähigkeiten

  • Machine Learning
  • PyTorch
  • Python
  • Statistics
  • TensorFlow
  • London, England, United Kingdom

Berufserfahrung

  • Frontend
  • Machine Learning
  • Search

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.