Qualifications

• Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field.
• Minimum of 8 years of industry experience developing and deploying large-scale machine learning models in production environments.
• Proven track record of delivering ML systems at the scale of millions of active users.
• Deep expertise in state-of-the-art retrieval and ranking algorithms, including multi-task learning, MMoE architectures, and multi-objective optimization.
• Hands-on experience with sequential and temporal modeling for recommendation systems.
• Strong understanding of advanced representation learning, embedding generation, and multi-modal data integration.
• Proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.
• Experience with distributed computing frameworks like Spark and Ray, and cloud platforms including AWS or GCP.
• Knowledge of Graph Neural Networks, knowledge graphs, and graph embeddings for complex relational data.
• Familiarity with Agentic AI, Large Language Models, and autonomous planning agents for conversational search and automated itinerary generation.
• Experience working within travel tech, e-commerce, or two-sided marketplaces, especially with non-linear user journeys and constrained inventories.
• Strong publication record or contributions to open-source ML projects in top-tier AI and IR conferences such as SIGIR, KDD, RecSys, or NeurIPS.

Responsibilities

• Lead the technical strategy and execution for search, retrieval, ranking, and recommendation systems within the Trips vertical.
• Translate high-level business objectives into scalable machine learning architectures and production systems.
• Design, prototype, and scale innovative recommendation and ranking models that address complex travel-related challenges.
• Oversee the deployment of low-latency, high-throughput pipelines capable of processing billions of data points in real-time.
• Collaborate with Product Managers, Engineering Leads, and Data Scientists to optimize multiple business objectives simultaneously.
• Act as the primary technical authority for ML initiatives, ensuring best practices and technical excellence.
• Mentor and develop senior and mid-level ML scientists, fostering a culture of innovation, rigor, and continuous learning.
• Drive research efforts, publish findings, and contribute to the broader AI community through conferences and open-source projects.
• Ensure data privacy, security, and ethical considerations are integrated into all ML systems and practices.

Benefits

• Competitive salary packages with annual bonuses, benchmarked against industry standards.
• Flexible work arrangements including remote work options and on-site collaboration as needed.
• Generous annual benefits for personal development, including tuition assistance and lifestyle allowances.
• Travel discounts and perks to support personal travel and exploration.
• Comprehensive health insurance coverage and wellness programs.
• Employee assistance programs to support mental health and well-being.
• Matching charitable donations to support community engagement and social responsibility.
• Referral bonuses for successful recruitment of new team members.

Equal Opportunity

Tripadvisor is committed to creating an inclusive environment where all individuals are valued and respected. We are an equal opportunity employer and do not discriminate based on race, ethnicity, gender, age, disability, sexual orientation, or any other protected characteristic. We believe diversity drives innovation and excellence, and we welcome applicants from all backgrounds to join our team. We look forward to welcoming diverse talent to help us achieve our mission of enriching travel experiences worldwide.