Sundayy
Machine Learning Scientist
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About Tripadvisor
The Tripadvisor Group is dedicated to connecting people with experiences worth sharing, striving to be the world’s most trusted source for travel and leisure information. By leveraging its diverse brands, innovative technology, and extensive capabilities, Tripadvisor aims to facilitate meaningful connections between its global audience and a wide array of travel partners. The company offers rich content, comprehensive travel guidance, and operates two-sided marketplaces encompassing experiences, accommodations, restaurants, and other travel categories. As a leader in the travel industry, Tripadvisor’s subsidiaries, including Tripadvisor, Viator, and TheFork, collectively contribute to its mission of inspiring and enabling travel worldwide.
About The Role
We are seeking a highly skilled Principal Machine Learning Scientist to serve as the technical anchor for our core discovery engine within the Trips vertical. In this strategic role, you will lead the development and execution of 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 conversions. You will tackle complex, ambiguous problems at the intersection of multi-task ranking, sequential user modeling, and graph-based travel recommendations. This position offers a unique opportunity to build state-of-the-art AI systems, mentor a talented team of scientists, and drive innovation in a dynamic, fast-paced environment.
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 shipping ML systems capable of supporting millions of active users
- Deep theoretical and practical expertise in retrieval and ranking algorithms, multi-task learning, and multi-objective optimization
- Hands-on experience with sequential recommendation systems, real-time user session modeling, and long-term preference capture
- Strong knowledge of embedding generation, deep semantic retrieval, and multi-modal representation learning
- Proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch
- Experience with distributed computing tools like Spark and Ray, and cloud platforms including AWS or GCP
- Desirable: Experience with Graph Neural Networks, knowledge graphs, or graph embeddings in relation to travel data
- Familiarity with Agentic AI, Large Language Models, and autonomous planning agents
- Experience working in e-commerce, travel tech, or two-sided marketplaces, especially with non-linear user journeys and constrained inventories
- Strong publication record or open-source contributions in top-tier AI or IR conferences (e.g., SIGIR, KDD, RecSys, NeurIPS)
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Responsibilities
- Lead 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 to solve complex travel-related problems
- Oversee deployment of low-latency, high-throughput retrieval and ranking 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
- Serve as the primary technical authority for ML initiatives, ensuring best practices and alignment with company standards
- Mentor and coach senior and mid-level ML scientists, fostering a culture of technical excellence and continuous learning
- Drive innovations 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 with remote-friendly policies and optional on-site collaboration
- Work-life balance supported by flexible schedules and a culture of trust and accountability
- Matching charitable donations to support community involvement
- Annual tuition assistance for professional development
- Annual lifestyle benefit to spend on travel, wellness, or personal interests
- Travel discounts and perks to support employee development and exploration
- Employee assistance programs providing resources for personal and professional challenges
- Comprehensive health benefits with competitive premiums
- Referral bonuses for successful candidate recommendations
Equal Opportunity
We are proud to be an Equal Employment Opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other basis protected by federal, state, or local law.
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