At a Glance
- Tasks: Develop and implement machine learning models for personalised recommendations.
- Company: Join Expedia.com Ltd., a leader in travel technology.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Collaborative environment with exciting projects and career advancement.
- Why this job: Make a real impact on travel experiences through advanced ML techniques.
- Qualifications: Strong background in machine learning and experience with big data technologies.
The predicted salary is between 60000 - 80000 £ per year.
Expedia.com Ltd. is seeking a Machine Learning Scientist II to join the B2B Machine Learning Science team. In this role, you will develop and implement machine learning models for personalized recommendations and relevance optimization, directly contributing to substantial value for our partners.
You'll be collaborating across teams, applying advanced ML techniques, and running experiments to enhance algorithm efficacy. The ideal candidate will have a strong educational background and experience with popular ML libraries and big data technologies.
Senior ML Scientist – Personalization & Recommendations employer: 11310 Expedia.com Ltd.
Expedia.com Ltd. is an exceptional employer that fosters a collaborative and innovative work culture, where employees are encouraged to push the boundaries of machine learning in the travel industry. With a focus on personal growth and professional development, team members have access to cutting-edge resources and opportunities to work on impactful projects that enhance user experiences. Located in a vibrant tech hub, employees enjoy a dynamic environment that promotes creativity and teamwork, making it a rewarding place to advance your career in machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Scientist – Personalization & Recommendations
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Expedia or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to personalization and recommendations. This will help you stand out and demonstrate your expertise.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML algorithms and big data technologies. Practice coding challenges and be ready to discuss your past projects in detail – we want to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior ML Scientist – Personalization & Recommendations
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with machine learning models and any relevant projects you've worked on. We want to see how you can contribute to our team with your expertise in personalization and recommendations!
Tailor Your Application:Don’t just send a generic application! Take the time to customise your CV and cover letter to reflect the specific skills and experiences that match the job description. We love seeing candidates who take the extra step!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that gets straight to the point!
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 the role. Plus, it’s super easy to do!
How to prepare for a job interview at 11310 Expedia.com Ltd.
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your experience with popular ML libraries and big data technologies, as these will be crucial for the role. Prepare to explain how you've applied these in past projects.
✨Showcase Your Collaboration Skills
Since this role involves working across teams, think of examples where you've successfully collaborated with others. Be prepared to share how you communicated complex ideas and contributed to team goals, as this will demonstrate your ability to work well in a collaborative environment.
✨Experimentation is Key
Get ready to talk about your experience running experiments to enhance algorithm efficacy. Have specific examples in mind where your experimentation led to significant improvements. This shows that you not only understand theory but can also apply it practically.
✨Prepare Questions
Interviews are a two-way street! Prepare thoughtful questions about the team, the projects you'll be working on, and the company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
