Sundayy
Machine Learning Scientist
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About The Company
Tripadvisor is a leading global travel platform that connects millions of travelers with authentic experiences, accommodations, restaurants, and activities worldwide. As part of the Tripadvisor Group, which includes renowned brands such as Viator and TheFork, the company leverages innovative technology, rich content, and user-generated reviews to empower travelers in making informed decisions. Committed to building the most trusted source for travel insights, Tripadvisor continuously enhances its platform to deliver personalized, seamless, and inspiring travel experiences. The organization fosters a collaborative, inclusive, and dynamic environment that values innovation, integrity, and customer-centricity.
About The Role
We are seeking a highly experienced Principal Machine Learning Scientist to serve as the technical leader for our core discovery engine within the Trips vertical. In this high-impact role, you will spearhead the development and execution of advanced machine learning strategies that influence how millions of users search, discover, and organize complex travel itineraries. Your expertise will bridge cutting-edge AI research with production-grade engineering, directly impacting key business metrics such as user engagement and booking conversion rates. You will lead initiatives to design innovative recommendation and ranking models, oversee scalable system architecture, and collaborate with cross-functional teams to optimize multi-objective outcomes. Additionally, you will mentor senior scientists, foster a culture of technical excellence, and drive the adoption of best practices in MLOps, data privacy, and code quality. This position offers a unique opportunity to shape the future of travel discovery through state-of-the-art AI systems, working in a fast-paced, innovative environment that values diversity, collaboration, and continuous learning.
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 shipping systems at the scale of millions of active users
- Deep theoretical and practical knowledge in state-of-the-art retrieval and ranking techniques, including Multi-Task Learning (MTL), Multi-gate Mixture-of-Experts (MMoE), and multi-objective optimization
- Experience building sequential recommendation systems that capture user session dynamics and long-term preferences
- Expertise in advanced representation learning, embedding generation, and multi-modal data integration
- Proficiency in Python, TensorFlow, PyTorch, and experience with distributed computing frameworks such as Spark and Ray
- Strong knowledge of cloud infrastructure platforms like AWS or GCP
- Hands-on experience applying Graph Neural Networks (GNNs), knowledge graphs, or graph embeddings in complex relational modeling
- Familiarity with Agentic AI, LLM-driven reasoning, and autonomous planning agents
- Experience in E-commerce, Travel Tech, or Two-Sided Marketplaces handling non-linear user journeys and constrained inventories
- Outstanding academic or industry contributions, including publications in top-tier AI/IR conferences (e.g., SIGIR, KDD, NeurIPS) or open-source projects
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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 innovative recommendation and ranking models for complex travel journeys
- 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
- Mentor and coach senior and mid-level machine learning scientists, fostering a culture of technical excellence
- Implement best practices for MLOps, rigorous A/B testing, data privacy, and code quality
- Identify opportunities for algorithmic innovation and system improvements to enhance user experience and operational efficiency
- Stay abreast of emerging AI research, applying relevant techniques to solve complex travel-related problems
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Benefits
- Competitive compensation packages, including base salary and annual bonuses
- Flexible work arrangements with remote-friendly policies and on-site options
- Flexible schedules to promote work-life balance
- Charitable donation matching programs
- Tuition reimbursement for professional development
- Annual lifestyle benefits applicable to travel, wellness, or personal interests
- Travel discounts and perks to support employee development and exploration
- Employee assistance programs offering resources for personal and professional challenges
- Comprehensive health insurance coverage with competitive premiums
- Referral incentives for successful candidate recommendations
Equal Opportunity
Tripadvisor is committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all qualified applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected characteristic. We strive to create an accessible environment for all candidates and employees. If you require a reasonable accommodation during the application or interview process, please contact us at AccessibleRecruiting@tripadvisor.com. We value the unique perspectives each individual brings and are dedicated to ensuring a welcoming, respectful, and equitable workplace for everyone.
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