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- Tasks: Develop and optimise machine learning ranking models to enhance travel experiences.
- Company: Global travel tech company with a focus on innovation.
- Benefits: Exciting travel perks, career development opportunities, and competitive salary.
- Why this job: Make a real impact on millions of travellers with your ML expertise.
- Qualifications: Master's or Ph.D. in relevant field, production ML experience, strong Python skills.
- Other info: Join a dynamic team dedicated to transforming the travel industry.
The predicted salary is between 48000 - 72000 £ per year.
A global travel technology company is seeking a Machine Learning Scientist II to join their Content Relevance Ranking AI team. In this role, you will utilize your expertise in machine learning to develop and optimize ranking models that enhance the travel experience for millions.
Candidates should have a Master's or Ph.D., experience in production ML, and a strong command of Python and advanced ML tools. This position offers exciting travel perks and career development opportunities.
Senior ML Scientist - Production & Ranking employer: PowerToFly
Contact Detail:
PowerToFly Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Scientist - Production & Ranking
✨Tip Number 1
Network like a pro! Reach out to folks in the travel tech industry, especially those working with machine learning. 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 ranking models. This will not only demonstrate your expertise but also make you stand out from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and advanced ML tools. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Scientist - Production & Ranking
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning and ranking models in your application. We want to see how your expertise can enhance the travel experience for millions, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Senior ML Scientist role. Mention your proficiency in Python and any advanced ML tools you’ve worked with, as this will catch our eye.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at PowerToFly
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to ranking models. Be ready to discuss your previous projects and how you've applied ML in production settings. This will show that you not only understand the theory but can also implement it effectively.
✨Python Proficiency is Key
Since the role requires a strong command of Python, practice coding challenges or algorithms that are relevant to ML. You might be asked to solve problems on the spot, so being comfortable with Python syntax and libraries will give you an edge.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in your previous roles and how you overcame them using ML techniques. Companies love candidates who can think critically and adapt their strategies to improve outcomes.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions about the team’s current projects or the company’s approach to AI in travel technology. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
