At a Glance
- Tasks: Lead machine learning strategy to enhance travel discovery for millions of users.
- Company: Join Tripadvisor Group, a leader in travel experiences and technology.
- Benefits: Competitive pay, flexible work options, tuition assistance, and travel perks.
- Other info: Collaborative culture focused on innovation and personal growth.
- Why this job: Make a real impact on how people explore the world through AI.
- Qualifications: Ph.D. or Master's in a quantitative field with 8+ years of ML experience.
The predicted salary is between 80000 - 100000 € per year.
The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories.
About the Role
As a Principal Machine Learning Scientist, you will be the technical anchor for our core discovery engine. You will lead the machine learning strategy and execution that powers how millions of users search for, discover, and organize their complex travel itineraries. This is a high-impact role bridging the gap between cutting-edge AI research and production-grade engineering, directly influencing multi-objective business outcomes like user engagement and booking conversion.
You will tackle complex, ambiguous problems at the intersection of deep multi-task ranking, sequential user modeling, and graph-based travel recommendations. If you are passionate about building state-of-the-art AI systems and mentoring a high-performing team of scientists, this role is for you.
What You'll Do
- Technical Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high-level business goals into concrete ML architectures and scalable production systems.
- Advanced Algorithm Innovation: Design, prototype, and scale next-generation recommendation and ranking models. Solve complex, non-linear travel journeys by utilizing sequential recommenders, representation learning, and deep multi-objective frameworks.
- System Architecture & Scalability: Oversee the deployment of low-latency, high-throughput retrieval and ranking pipelines capable of processing billions of travel data points in real-time.
- Cross-Functional Collaboration: Partner closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi-task business objectives simultaneously.
- Talent Multiplier: Mentor and coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality.
Skills & Experience
- Education: Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field.
- Experience: 8+ years of industry experience developing and deploying large-scale ML models in a production environment.
- Core Technical Expertise: Deep theoretical and practical knowledge in areas such as SOTA Retrieval & Ranking, Sequential & Temporal Modeling, Advanced Representation Learning, Technical Stack, Graph Neural Networks (GNNs), and Agentic AI & Generative AI.
What We Offer
- Competitive compensation packages, including base salary and annual bonuses.
- Flexibility to suit your lifestyle with a remote-friendly approach.
- Flexible schedule promoting work-life balance.
- Donation matching for charitable contributions.
- Tuition assistance for career development.
- Lifestyle benefit for personal spending.
- Travel perks and discounts.
- Employee assistance program for life's challenges.
- Health benefits with great coverage.
- Generous referral scheme for successful candidate referrals.
We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviours and insights drive us. Execution is our edge; we act fast, experiment, learn from failure, iterate, and improve solutions across every aspect of our business. We succeed together through collaboration, empathy, and shared goals.
We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or recruiting process, please reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com.
Principal Machine Learning Scientist in London employer: TripAdvisor LLC
At Tripadvisor Group, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the travel tech industry. Our flexible work culture promotes a healthy work-life balance, while our commitment to employee growth is evident through initiatives like tuition assistance and mentorship opportunities. With competitive compensation packages and unique benefits such as travel perks and donation matching, we empower our team to thrive both personally and professionally in a dynamic, remote-friendly environment.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Machine Learning Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Tripadvisor. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects related to machine learning, make sure to highlight them during interviews. Real-world examples speak volumes!
✨Tip Number 3
Prepare for technical challenges! Brush up on your ML concepts and be ready to tackle some coding problems. We love seeing how you think through complex issues.
✨Tip Number 4
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 joining our team.
We think you need these skills to ace Principal Machine Learning Scientist in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Principal Machine Learning Scientist role. Highlight your experience with machine learning models and how they relate to travel tech. We want to see how your skills align with our mission!
Showcase Your Projects:Include specific examples of projects you've worked on that demonstrate your expertise in ML, especially those involving recommendation systems or complex data processing. We love seeing real-world applications of your skills!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your achievements and technical skills. We appreciate clarity and want to understand your journey without any fluff!
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way to ensure it gets into the right hands. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at TripAdvisor LLC
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning, especially around retrieval and ranking systems. Be ready to discuss your past projects and how they relate to the role at Tripadvisor. They’ll want to see that you can translate complex ML concepts into practical applications.
✨Showcase Your Leadership Skills
As a Principal Machine Learning Scientist, you'll be expected to lead and mentor others. Prepare examples of how you've successfully led teams or projects in the past. Highlight your ability to foster a culture of technical excellence and collaboration.
✨Prepare for Technical Questions
Expect deep dives into your technical expertise, especially around multi-task learning and graph neural networks. Brush up on your Python skills and be ready to solve problems on the spot. Practising coding challenges can help you feel more confident.
✨Understand Their Business
Familiarise yourself with Tripadvisor's business model and how machine learning impacts user engagement and booking conversion. Being able to connect your technical skills to their business goals will show that you're not just a techie, but someone who understands the bigger picture.
