Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and optimise ML models to enhance travel experiences for millions.
- Company: Global travel tech company with a focus on innovation.
- Benefits: Exciting benefits, supportive culture, and opportunities for growth.
- Why this job: Make a real impact in the travel industry using cutting-edge machine learning.
- Qualifications: Master's or Ph.D. in a relevant field and 3+ years of production ML experience.
- Other info: Collaborate with diverse teams to drive innovative solutions.
The predicted salary is between 43200 - 72000 £ per year.
A global travel technology company is seeking a Machine Learning Scientist III to enhance the travel experience for millions. This role focuses on developing and optimizing ML models for content relevance.
Ideal candidates will possess a Master's or Ph.D. in a relevant field and have over three years of production machine learning experience. You will collaborate with cross-functional teams to drive innovative solutions and maintain cutting-edge practices.
Exciting benefits and a supportive culture await.
Senior Ml Scientist Iii — Production-Scale Travel Ai in England employer: Expedia, Inc.
Contact Detail:
Expedia, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Ml Scientist Iii — Production-Scale Travel Ai in England
✨Tip Number 1
Network like a pro! Reach out to folks in the travel tech industry on LinkedIn or at events. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to content relevance. This will help us see your practical experience and how you can contribute to our team.
✨Tip Number 3
Prepare for the technical interview! Brush up on your ML algorithms and be ready to discuss your past projects in detail. We love candidates who can articulate their thought process and problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in being part of our innovative team.
We think you need these skills to ace Senior Ml Scientist Iii — Production-Scale Travel Ai in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning and any projects that showcase your skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing travel experiences through ML. We love seeing candidates who can connect their personal interests with our mission.
Showcase Your Technical Skills: Don’t forget to mention specific ML models or technologies you’ve worked with. We’re looking for someone who can hit the ground running, so let us know what tools you’re comfortable with and any innovative solutions you've implemented.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Expedia, Inc.
✨Know Your ML Models Inside Out
Make sure you can discuss the ML models you've worked on in detail. Be prepared to explain your approach to developing and optimising these models, especially in a production environment. Highlight any specific challenges you faced and how you overcame them.
✨Showcase Your Collaborative Spirit
Since this role involves working with cross-functional teams, be ready to share examples of successful collaborations. Talk about how you’ve communicated complex technical concepts to non-technical team members and how you’ve contributed to innovative solutions.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest trends in travel technology and machine learning. Being able to discuss recent advancements or case studies will show your passion for the field and your commitment to maintaining cutting-edge practices.
✨Prepare Thoughtful Questions
At the end of the interview, you’ll likely have the chance to ask questions. Prepare insightful queries about the company’s current projects, their approach to ML model optimisation, or how they foster a supportive culture. This shows your genuine interest in the role and the company.
