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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, booking conversion, etc. You will tackle complex, ambiguous problems at the intersection of deep multi-task ranking, sequential user modeling, and graph-based travel recommendations.
Responsibilities
- 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.
- 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.
- Oversee the deployment of low-latency, high-throughput retrieval and ranking pipelines capable of processing billions of travel data points in real-time.
- 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.
- 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.
Requirements
- 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.
- Deep theoretical and practical knowledge in SOTA Retrieval & Ranking, Sequential & Temporal Modeling, and Advanced Representation Learning.
- Mastery of Python and deep learning frameworks (TensorFlow, PyTorch).
- Hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP).
- Strong experience applying Graph Neural Networks (GNNs), knowledge graphs, or graph embeddings to map complex relations between travel entities.
- Familiarity with Agentic AI frameworks, LLM-driven reasoning, or autonomous planning agents.
- Experience working in E-commerce, Travel Tech, or Two-Sided Marketplaces, specifically handling non-linear user journeys and highly constrained inventory.
- A strong track record of academic or industry contributions, including publications in top-tier AI/IR conferences or open-source ML contributions.
Skills
- Machine Learning
- Deep Learning
- TensorFlow
- PyTorch
- Python
- Distributed Computing
- Spark
- Ray
- AWS
- GCP
- Multi-Task Learning (MTL)
- Multi-gate Mixture-of-Experts (MMoE)
- Sequential Recommendation Systems
- Representation Learning
- Graph Neural Networks (GNNs)
- Agentic AI
- Generative AI
- MLOps
- A/B testing
Location
- Remote
Work Type
- Hybrid
- Remote
Experience Level
- Principal
- 8+ years
Education Level
- Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field.
Benefits
- Competitive compensation packages including base salary and annual bonuses
- Flexibility to suit your lifestyle
- Remote-friendly approach to collaboration
- Flexible schedule
- Work-life balance
- Donation matching
- Tuition assistance
- Lifestyle benefit
- Travel perks
- Employee assistance program
- Health benefits
- Generous referral scheme
About the Company
- 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.
Equal Opportunity
- 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.