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Machine Learning Scientist
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About The Company
Tripadvisor is a globally recognized leader in the travel industry, dedicated to connecting travelers with unforgettable experiences. As part of the Tripadvisor Group, which includes renowned brands such as Viator and TheFork, the company leverages cutting-edge technology, rich content, and a comprehensive marketplace platform to facilitate travel planning and discovery. With a mission to be the world's most trusted source for travel and experiences, Tripadvisor empowers millions of users worldwide to explore, book, and share their journeys. The organization values innovation, collaboration, and a customer-centric approach, striving to deliver personalized and seamless travel solutions that inspire exploration and foster memorable moments.
About The Role
The Principal Machine Learning Scientist role is a pivotal position based in London, United Kingdom, responsible for leading the development and implementation of advanced machine learning strategies within Tripadvisor’s core discovery engine. You will serve as the technical anchor, guiding the design, prototyping, and deployment of sophisticated AI models that enhance how users search, discover, and organize complex travel itineraries. This high-impact role requires a blend of deep research expertise and practical engineering skills, bridging the gap between state-of-the-art AI research and scalable production systems. You will oversee the creation of multi-objective ranking, recommendation, and user modeling systems that directly influence key business metrics such as user engagement and booking conversions. Collaborating with cross-functional teams, mentoring senior scientists, and driving innovation will be central to your responsibilities, ensuring Tripadvisor maintains its competitive edge in travel technology.
Qualifications
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- Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field.
- 8+ years of industry experience in developing and deploying large-scale machine learning models in production environments.
- Proven track record of shipping ML systems that support millions of active users.
- Deep expertise in retrieval and ranking algorithms, multi-task learning, and multi-objective optimization architectures.
- Hands-on experience with sequential and temporal recommendation systems.
- Strong knowledge of advanced representation learning techniques, embeddings, and multi-modal data integration.
- Proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.
- Experience with distributed computing platforms like Spark and Ray, and cloud services such as AWS or GCP.
- Familiarity with Graph Neural Networks, knowledge graphs, and graph embeddings.
- Experience with Agentic AI, Generative AI, and large language models for conversational AI and automated planning.
- Background in travel tech, e-commerce, or two-sided marketplaces handling complex user journeys and inventory constraints.
- Strong publication record or open-source contributions to top-tier AI and IR conferences such as NeurIPS, SIGIR, KDD, or RecSys.
Responsibilities
- Drive the technical roadmap for search, retrieval, ranking, and recommendation systems within the Trips vertical.
- Translate high-level business objectives into scalable, robust machine learning architectures and production pipelines.
- Design, prototype, and scale innovative recommendation and ranking models utilizing sequential recommenders, representation learning, and multi-objective frameworks.
- 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-task business goals.
- Mentor and coach senior and mid-level machine learning scientists, fostering a culture of technical excellence and innovation.
- Establish best practices for MLOps, rigorous A/B testing, data privacy, and code quality across projects.
- Stay abreast of emerging AI research, incorporate new techniques into existing systems, and contribute to the broader scientific community through publications and open-source projects.
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Benefits
- Competitive compensation packages including base salary and annual bonuses.
- Flexible work arrangements with remote-friendly options and on-site collaboration opportunities.
- Work-life balance supported by flexible scheduling and a culture of trust and accountability.
- Donation matching program for charitable contributions.
- Tuition assistance for professional development and further education.
- Annual lifestyle benefit to spend on travel, wellness, or personal interests.
- Travel discounts and perks to support employee exploration and development.
- Employee assistance programs offering resources for personal and professional challenges.
- Comprehensive health insurance coverage with competitive premiums.
- Referral bonuses for successful candidate recommendations.
Equal Opportunity
Tripadvisor is committed to fostering an inclusive and diverse workplace. We provide equal employment opportunities to all applicants and employees without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or any other protected status. We believe that diverse perspectives drive innovation and excellence, and we strive to create a welcoming environment for all.
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