Tripadvisor - Principal Machine Learning Scientist (Experiences)
Requirements
• Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. • Education: • Experience: 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. • Core Technical Expertise: Deep theoretical and practical knowledge in the following areas: • Core Technical Expertise: • SOTA Retrieval & Ranking: Practical experience with Multi-Task Learning (MTL), Multi-gate Mixture-of-Experts (MMoE), or similar architectures optimized for multi-objective optimization. • SOTA Retrieval & Ranking: • Sequential & Temporal Modeling: Hands-on experience building sequential recommendation systems that capture real-time user session dynamics and long-term historical preferences. • Sequential & Temporal Modeling: • Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi-modal representation learning. • Advanced Representation Learning: • Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). • Technical Stack: • Desired: • Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings to map complex relations between travel entities (e.g., users, destinations, itineraries, points of interest). • Graph Neural Networks (GNNs): • Agentic AI & Generative AI: Familiarity with Agentic AI frameworks, LLM-driven reasoning, or autonomous planning agents to enhance conversational search and automated itinerary generation. • Agentic AI & Generative AI: • Experience working in E-commerce, Travel Tech, or Two-Sided Marketplaces, specifically handling non-linear user journeys and highly constrained inventory (e.g., hotel availability, tour timings). • E-commerce, Travel Tech, or Two-Sided Marketplaces • A strong track record of academic or industry contributions, including publications in top-tier AI/IR conferences (e.g., SIGIR, KDD, RecSys, NeurIPS) or open-source ML contributions.
Responsibilities
• Technical Leadership & Execution: 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. • Technical Leadership & Execution: • Advanced Algorithm Innovation: 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. • Advanced Algorithm Innovation: • System Architecture & Scalability: Oversee the deployment of low-latency, high-throughput retrieval and ranking pipelines (e.g., multi-stage retrieval, vector search) capable of processing billions of travel data points (reviews, photos, bookings, user intent) in real-time. • System Architecture & Scalability: • Cross-Functional Collaboration: 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. • Cross-Functional Collaboration: • Talent Multiplier: 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. • Talent Multiplier:
Benefits
• Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses • “Work your way” with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team. • Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. • Donation matching. Give back? Give more! We match qualifying charitable donations annually. • Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. • Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. • Travel perks. We believe that travel is employee development, so we provide discounts and more. • Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges. • Health benefits. We offer great coverage and competitive premiums. • Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. • Our Cultural Pillars: • Traveler first • We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. • Execution is our edge • We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. • We succeed together • We succeed together • The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. • 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 [email protected]. • If you have any additional questions about careers at Tripadvisor you can email us at [email protected]. We have all the answers!
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