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- Tasks: Develop and implement machine learning models for personalised recommendations.
- Company: Global travel tech company based in the UK with a diverse team.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact on innovative solutions in the travel industry.
- Qualifications: Ph.D. or Master’s in a relevant field and strong Python programming skills.
- Other info: Join a team pushing the boundaries of technology and travel.
The predicted salary is between 36000 - 60000 £ per year.
A global travel technology company based in the UK seeks a Machine Learning Scientist II. In this role, you will develop and implement machine learning models for personalized recommendations and collaborate with cross-functional teams.
Candidates should hold a Ph.D. or Master’s in a relevant field and possess strong programming skills in Python.
This position offers a unique chance to impact the travel industry's innovative solutions. Join a diverse team pushing the boundaries of technology and travel.
ML Scientist II — Scalable Personalization & Recommendations employer: Expedia, Inc.
Contact Detail:
Expedia, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Scientist II — Scalable Personalization & Recommendations
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow ML enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to recommendations and personalization. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in machine learning. Practice common interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace ML Scientist II — Scalable Personalization & Recommendations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning and programming skills, especially in Python. We want to see how your background aligns with the role of ML Scientist II, so don’t hold back on 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 personalised recommendations and how you can contribute to our innovative solutions in the travel industry. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any relevant projects or research, make sure to include them in your application. We’re keen to see practical examples of your work in machine learning, especially those that demonstrate your ability to collaborate with cross-functional teams.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you get all the updates about your application status. Plus, it’s super easy!
How to prepare for a job interview at Expedia, Inc.
✨Know Your ML Models
Make sure you brush up on the latest machine learning models, especially those related to recommendations and personalisation. Be ready to discuss your previous projects and how you implemented these models, as this will show your practical experience.
✨Showcase Your Programming Skills
Since strong programming skills in Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to boost your confidence.
✨Understand the Travel Tech Landscape
Familiarise yourself with the travel technology industry and current trends. Being able to discuss how machine learning can enhance user experiences in travel will set you apart and show your genuine interest in the role.
✨Collaborate and Communicate
As this role involves working with cross-functional teams, be prepared to discuss your teamwork experiences. Highlight instances where you successfully collaborated with others, as effective communication is key in this position.
