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 remote work, 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 with cutting-edge AI.
- Qualifications: Ph.D. or Master’s in a quantitative field and 8+ years in ML.
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. Act as the primary technical authority for ML initiatives within the Trips vertical.
- 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, with a proven track record of shipping systems at the scale of millions of active users.
- 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.
- “Work your way” with flexibility to suit your lifestyle.
- Flexible schedule.
- Donation matching.
- Tuition assistance.
- Lifestyle benefit.
- Travel perks.
- Employee assistance program.
- Health benefits.
- Generous referral scheme.
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 are what drives us. Execution is our edge. We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together. The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com.
Principal Machine Learning Scientist employer: TripAdvisor LLC
At Tripadvisor Group, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Principal Machine Learning Scientist, you will enjoy competitive compensation, flexible working arrangements, and ample opportunities for professional growth, all while contributing to a mission that connects millions of travellers with unforgettable experiences. Our commitment to work-life balance, employee development, and community engagement makes us a standout choice for those seeking meaningful and rewarding employment in the travel tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Machine Learning Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and AI. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss your past experiences in detail. Confidence is key!
✨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 Tripadvisor.
We think you need these skills to ace Principal Machine Learning Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Principal Machine Learning Scientist role. Highlight your experience with ML models, especially those that relate to retrieval and ranking systems. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our mission at Tripadvisor. Be sure to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical skills in Python, TensorFlow, or PyTorch. We love seeing practical examples of your work, so include links to any projects or publications that demonstrate your capabilities in machine learning.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we love seeing candidates who take the initiative!
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, particularly any experience with multi-task learning or sequential recommendation systems.
✨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, focusing on your ability to foster a culture of technical excellence and collaboration.
✨Prepare for Technical Questions
Expect deep dives into your technical expertise, especially around Python, TensorFlow, and PyTorch. Brush up on your knowledge of graph neural networks and advanced representation learning, as these are key areas for the role.
✨Understand the Business Impact
Be ready to discuss how your work can influence user engagement and booking conversion. Think about how you can translate high-level business goals into actionable machine learning strategies that align with the company's objectives.