ML Scientist III - Personalization & Real-Time Ranking

ML Scientist III - Personalization & Real-Time Ranking

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Experimentation Jobs

At a Glance

  • Tasks: Develop and enhance machine learning solutions for personalised travel experiences.
  • Company: Expedia Group, a leader in global travel technology.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and impact.
  • Why this job: Join a team shaping memorable journeys for millions using cutting-edge tech.
  • Qualifications: Experience in machine learning and strong analytical skills.

The predicted salary is between 60000 - 80000 £ per year.

Why Here? Expedia Group powers global travel for everyone everywhere through cutting‑edge technology and innovative solutions that shape memorable journeys for millions of travelers. The Unified Personalization Service team sits within Expedia Product & Technology and builds the company’s centralized real‑time personalization engine across brands and channels.

What Will You Do? As a Machine Learning Scientist III at Expedia, you will develop and advance machine learning solutions that power personalization use cases such as ranking recommendations and adaptive experiences. You will design experiments and evaluate model performance using data‑driven methods to improve relevance and customer experience across systems. Additionally, you will partner across engineering product analytics and science teams to deliver scalable ML capabilities while contributing technical depth in model development, feature design and production deployment.

ML Scientist III - Personalization & Real-Time Ranking employer: Experimentation Jobs

Expedia Group is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for ML Scientists looking to make a significant impact in the travel industry. With a focus on employee growth, you will have access to cutting-edge technology and opportunities to work alongside talented professionals in a dynamic environment. Located in a vibrant area, the company offers a unique blend of work-life balance and professional development, ensuring that your contributions lead to meaningful advancements in global travel personalization.

Experimentation Jobs

Contact Details:

Experimentation Jobs Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land ML Scientist III - Personalization & Real-Time Ranking

Tip Number 1

Network like a pro! Reach out to current or former employees at Expedia Group on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for the interview by brushing up on your machine learning concepts and real-time ranking techniques. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.

Tip Number 3

Showcase your projects! If you've worked on any relevant ML projects, make sure to discuss them during your interview. We love seeing how you’ve applied your skills in real-world scenarios, especially those that relate to personalization.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Expedia team.

We think you need these skills to ace ML Scientist III - Personalization & Real-Time Ranking

Machine Learning
Personalization Algorithms
Real-Time Ranking
Data-Driven Methods
Model Performance Evaluation
Experiment Design
Feature Design

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the role of ML Scientist III. Highlight your experience with machine learning solutions, especially in personalization and ranking. We want to see how your skills align with what we do at Expedia!

Showcase Your Projects:Include specific projects where you've developed or advanced machine learning models. We love seeing real-world applications, so don’t hold back on the details about your contributions and the impact they had!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for our team. We appreciate genuine enthusiasm and a clear connection to our mission.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!

How to prepare for a job interview at Experimentation Jobs

Know Your ML Fundamentals

Brush up on your machine learning concepts, especially those related to personalization and ranking algorithms. Be ready to discuss how you’ve applied these in past projects, as this will show your depth of knowledge and practical experience.

Prepare for Technical Questions

Expect to dive deep into technical discussions. Review common ML frameworks and tools, and be prepared to solve problems on the spot. Practising coding challenges or algorithm questions can help you feel more confident during the interview.

Showcase Your Collaboration Skills

Since the role involves partnering with various teams, be ready to share examples of how you've successfully collaborated with engineers, product managers, or data analysts in the past. Highlighting your teamwork will demonstrate that you can thrive in a cross-functional environment.

Ask Insightful Questions

Prepare thoughtful questions about the team’s current projects, challenges they face, and how they measure success. This not only shows your genuine interest in the role but also helps you gauge if the company culture aligns with your values.