Sundayy
Machine Learning Scientist
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About Tripadvisor
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. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.
About The Role
As a Principal Machine Learning Scientist, you will serve as the technical anchor for our core discovery engine within the Trips vertical. Your primary responsibility will be to lead the development and execution of machine learning strategies that enhance how millions of users search for, discover, and organize complex travel itineraries. This high-impact role involves bridging cutting-edge AI research with production-grade engineering to influence key business outcomes such as user engagement and booking conversions. You will tackle complex, ambiguous problems situated 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 offers a unique opportunity to make a significant impact.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field
- 8+ years of industry experience developing and deploying large-scale machine learning models in a production environment
- Proven track record of delivering systems at the scale of millions of active users
- Deep theoretical and practical knowledge in retrieval and ranking algorithms, multi-task learning, and multi-objective optimization frameworks
- Hands-on experience building sequential recommendation systems that capture real-time user session dynamics and long-term preferences
- Expertise in representation learning, embedding generation, semantic retrieval, and multi-modal data processing
- Mastery of Python, deep learning frameworks (TensorFlow, PyTorch), distributed computing (Spark, Ray), and cloud infrastructure (AWS, GCP)
- Strong experience applying graph neural networks, knowledge graphs, or graph embeddings to model complex relationships in travel data
- Familiarity with Agentic AI, Large Language Models, and autonomous planning agents for conversational search and itinerary automation
- Experience in travel technology, e-commerce, or two-sided marketplaces handling non-linear user journeys and constrained inventories
- Published contributions in top-tier AI or information retrieval conferences such as SIGIR, KDD, RecSys, or NeurIPS (preferred)
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Responsibilities
- Drive the technical roadmap for search, retrieval, ranking, and recommendation systems within the Trips vertical
- Translate high-level business goals into scalable machine learning architectures and production systems
- Design, prototype, and scale advanced recommendation and ranking models to solve complex travel-related problems
- Oversee deployment of low-latency, high-throughput retrieval pipelines capable of processing billions of data points in real-time
- Collaborate closely with Product Managers, Engineering Leads, and Data Science teams to optimize multi-objective business outcomes
- Act as the primary technical authority for ML initiatives, providing guidance and strategic direction
- Mentor and coach senior and mid-level machine learning scientists, fostering a culture of technical excellence
- Implement best practices in MLOps, rigorous A/B testing, data privacy, and code quality standards
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Benefits
- Competitive compensation packages including base salary and annual bonuses
- Flexible work arrangements supporting remote collaboration and on-site presence as needed
- Work-life balance initiatives with flexible schedules
- Matching charitable donations to support social responsibility
- Tuition assistance for professional development and career growth
- Annual lifestyle benefit to spend on travel, wellness, or personal development
- Travel discounts and perks to enhance personal travel experiences
- Employee assistance programs offering resources for personal challenges
- Comprehensive health insurance coverage with competitive premiums
- Referral rewards for successful candidate recommendations
Equal Opportunity
Tripadvisor is committed to creating an inclusive environment and is proud to be an equal opportunity employer. We celebrate diversity and are dedicated to providing an accessible and equitable recruitment process. If you require a reasonable accommodation during the application or interview process, please contact us. We encourage applications from candidates of all backgrounds and experiences to join our team and contribute to our mission of connecting travelers with unforgettable experiences.
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