Senior Director of Machine Learning (Experiences) London, Oxford, Poland, Krakow About Tripadvisor 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. Tripadvisor Experiences, a division of Tripadvisor, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary. The role As the Senior Director, Machine Learning, you will spearhead our Machine Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation, and ranking systems that power how travelers discover and book experiences; rigorous experimentation; and the responsible application of generative AI - all built on our rich first-party data. You will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long-horizon ML strategy, with scientists deployed close to the product areas they serve so delivery stays fast and grounded in real business context. You will be a strategic leader and a credible technologist: a player-coach who sets technical direction, holds the scientific bar, and stays close enough to the work to earn the trust of a demanding team. You will lead and grow the organization through a layer of managers as it scales. What you'll do Leading through a team of managers and senior scientists, you will: Build and lead a unified ML organization. Consolidate and grow ML scientists currently embedded across engineering into one hub-and-spoke model; define the operating model, decision rights, and service commitments so product areas keep momentum through the change. Own the personalization strategy. Set the technical direction for the recommendation, ranking, and search-relevance systems that personalize the traveler journey - multi-objective ranking, sequential and session-based recommenders, embeddings and semantic retrieval, and real-time features - the models that drive discovery and conversion at scale. Lead data science and experimentation. Own predictive modeling, causal inference, and the experimentation platform and standards - A/B testing, guardrail metrics, and rigorous measurement of incremental business impact - as a decision-science partner to Product and the business, championing a strong experimentation culture across the organization. Shape our generative-AI direction. Own the strategy for applying LLMs and generative AI across the Experiences product - conversational trip planning, retrieval-augmented generation grounded in our first-party reviews and content, and automated content - with rigorous evaluation to control quality and cost, including agentic and LLM-driven experiences as this work scales. Grow, develop, and retain the team. Shape ML and data-science career ladders and dual technical/management tracks; partner with Talent Acquisition to attract and hire top-tier ML and data-science talent; calibrate hiring and promotions; establish standards for the research-to-production model lifecycle; and develop both the management track and the senior IC bench - Staff and Principal Scientists. Own production ML health. Set and enforce the standards for reliable, well-monitored, cost-effective models in production - deployment, retraining, monitoring and governance - and the service levels (SLAs) of the ML organization. Partnering with MLOps infrastructure team. Partner across the company. Translate commercial strategy into an ML roadmap with Product, Engineering, Design, and Analytics leadership; represent ML in executive planning; and connect model performance to business outcomes. What you'll bring: Substantial experience in machine learning, together with significant experience leading managers and senior technical teams in a complex, scaled organisation. A track record of shipping production machine learning at scale - ideally personalization, recommendations, search/ranking, or similar - to large consumer traffic, with measurable business impact. Experience building, scaling, or restructuring an ML or data-science organization, and the change-management skill to consolidate and align teams without disrupting delivery. The ability to operate as an executive peer - influencing Director- and VP-level partners across Product and Engineering and shaping strategy, not just execution. A strategic player-coach's technical depth: current enough in modern ML, experimentation, and MLOps to set direction, review architecture, and hold the scientific bar. Strong grounding in experimentation and statistics - A/B testing, causal inference, and rigorous measurement of impact. An MS or PhD in a quantitative field (Computer Science, Statistics, Mathematics, or related), or equivalent depth of applied experience. Excellent communication - the ability to translate complex ML concepts into business decisions for technical and non-technical audiences alike. Job Location: Hybrid - UK (London/Oxford) or Poland (Krakow) This role is a hybrid position that requires 2 days per week in our office What We Offer 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. 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 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 . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers! Massachusetts Notification It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Aug 21, 2026
Full time
Senior Director of Machine Learning (Experiences) London, Oxford, Poland, Krakow About Tripadvisor 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. Tripadvisor Experiences, a division of Tripadvisor, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary. The role As the Senior Director, Machine Learning, you will spearhead our Machine Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation, and ranking systems that power how travelers discover and book experiences; rigorous experimentation; and the responsible application of generative AI - all built on our rich first-party data. You will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long-horizon ML strategy, with scientists deployed close to the product areas they serve so delivery stays fast and grounded in real business context. You will be a strategic leader and a credible technologist: a player-coach who sets technical direction, holds the scientific bar, and stays close enough to the work to earn the trust of a demanding team. You will lead and grow the organization through a layer of managers as it scales. What you'll do Leading through a team of managers and senior scientists, you will: Build and lead a unified ML organization. Consolidate and grow ML scientists currently embedded across engineering into one hub-and-spoke model; define the operating model, decision rights, and service commitments so product areas keep momentum through the change. Own the personalization strategy. Set the technical direction for the recommendation, ranking, and search-relevance systems that personalize the traveler journey - multi-objective ranking, sequential and session-based recommenders, embeddings and semantic retrieval, and real-time features - the models that drive discovery and conversion at scale. Lead data science and experimentation. Own predictive modeling, causal inference, and the experimentation platform and standards - A/B testing, guardrail metrics, and rigorous measurement of incremental business impact - as a decision-science partner to Product and the business, championing a strong experimentation culture across the organization. Shape our generative-AI direction. Own the strategy for applying LLMs and generative AI across the Experiences product - conversational trip planning, retrieval-augmented generation grounded in our first-party reviews and content, and automated content - with rigorous evaluation to control quality and cost, including agentic and LLM-driven experiences as this work scales. Grow, develop, and retain the team. Shape ML and data-science career ladders and dual technical/management tracks; partner with Talent Acquisition to attract and hire top-tier ML and data-science talent; calibrate hiring and promotions; establish standards for the research-to-production model lifecycle; and develop both the management track and the senior IC bench - Staff and Principal Scientists. Own production ML health. Set and enforce the standards for reliable, well-monitored, cost-effective models in production - deployment, retraining, monitoring and governance - and the service levels (SLAs) of the ML organization. Partnering with MLOps infrastructure team. Partner across the company. Translate commercial strategy into an ML roadmap with Product, Engineering, Design, and Analytics leadership; represent ML in executive planning; and connect model performance to business outcomes. What you'll bring: Substantial experience in machine learning, together with significant experience leading managers and senior technical teams in a complex, scaled organisation. A track record of shipping production machine learning at scale - ideally personalization, recommendations, search/ranking, or similar - to large consumer traffic, with measurable business impact. Experience building, scaling, or restructuring an ML or data-science organization, and the change-management skill to consolidate and align teams without disrupting delivery. The ability to operate as an executive peer - influencing Director- and VP-level partners across Product and Engineering and shaping strategy, not just execution. A strategic player-coach's technical depth: current enough in modern ML, experimentation, and MLOps to set direction, review architecture, and hold the scientific bar. Strong grounding in experimentation and statistics - A/B testing, causal inference, and rigorous measurement of impact. An MS or PhD in a quantitative field (Computer Science, Statistics, Mathematics, or related), or equivalent depth of applied experience. Excellent communication - the ability to translate complex ML concepts into business decisions for technical and non-technical audiences alike. Job Location: Hybrid - UK (London/Oxford) or Poland (Krakow) This role is a hybrid position that requires 2 days per week in our office What We Offer 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. 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 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 . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers! Massachusetts Notification It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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. Job Location: Hybrid This role is a hybrid position that requires 2 days per week in our London office. Who we are looking for We are looking for an experienced and forward-thinking AI Project Manager to lead the design, deployment, and optimisation of AI-powered projects within our Customer Service Operations. This role sits at the intersection of technology and customer experience driving value for our Travelers across our global experiences catalog. As part of the Service Excellence team you will work closely with our AI Automation Lead working cross-functionally with our R&D, Technology, Service-Operations, Data and Supply teams to ensure AI implementation projects are delivered on time, driving measurable value to our Travelers. Key Responsibilities Lead end-to-end delivery of AI and automation projects within the customer service function, from discovery and scoping through to deployment and review. Develop and maintain a roadmap of AI initiatives aligned with customer service OKRs and business priorities. Manage project timelines, budgets, risks, and stakeholder communications across multiple concurrent workstreams. Coordinate with external vendors and internal engineering teams to ensure seamless integration of AI solutions with existing CRM, telephony, and other platforms. Operations & Performance Monitor AI system performance (e.g. chatbot containment rates, CSAT, deflection metrics) and drive continuous improvement cycles. Partner with Quality Assurance and workforce planning teams to assess the impact of AI on agent workload, skill requirements, and scheduling. Identify manual or repetitive processes within customer service operations that are suitable for intelligent automation. Ensure AI tools comply with data protection regulations (e.g. UK GDPR) and internal governance frameworks. Stakeholder Engagement & Change Management Act as the primary point of contact between the customer service leadership team and AI/tech delivery functions. Lead change management and communication efforts to ensure frontline agents and team leaders understand, trust, and effectively use AI tools. Facilitate workshops, training sessions, and feedback loops to capture agent insights and refine AI behaviour. Present project updates, performance data, and business cases to senior leadership and executive stakeholders. Governance & Ethics Champion responsible AI practices, ensuring fairness, transparency, and customer trust are embedded into all solutions. Maintain clear documentation of AI model inputs, outputs, decision logic, and escalation pathways. Work with Legal, Compliance, and Data teams to conduct impact assessments and ensure ongoing regulatory compliance. Required Experience & Skills 3+ years of project management experience, ideally within customer service, contact centre, or CX environments. Demonstrated experience delivering AI, automation, or digital transformation projects (e.g. conversational AI, RPA, NLP, knowledge management tools). Strong understanding of customer service operations, including contact centre metrics, workflows, and team structures. Excellent stakeholder management skills, with the ability to translate technical concepts for non-technical audiences. Proficiency with project management methodologies (Agile, Scrum, Waterfall, or hybrid approaches). Analytical mindset with experience using data to track performance and make evidence-based decisions. Familiarity with data privacy obligations relevant to AI, including UK GDPR. Experience with AI/CX platforms such as Salesforce Einstein, Zendesk AI, Google CCAI, Genesys, or similar. Awareness of large language models (LLMs), prompt engineering, and generative AI use cases in a service context. Project management certification (e.g. PMP, PRINCE2, APM, or SAFe). Background in change management, employee engagement, or learning & development. What We Offer 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. 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 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 . We have all the answers!
Aug 20, 2026
Full time
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. Job Location: Hybrid This role is a hybrid position that requires 2 days per week in our London office. Who we are looking for We are looking for an experienced and forward-thinking AI Project Manager to lead the design, deployment, and optimisation of AI-powered projects within our Customer Service Operations. This role sits at the intersection of technology and customer experience driving value for our Travelers across our global experiences catalog. As part of the Service Excellence team you will work closely with our AI Automation Lead working cross-functionally with our R&D, Technology, Service-Operations, Data and Supply teams to ensure AI implementation projects are delivered on time, driving measurable value to our Travelers. Key Responsibilities Lead end-to-end delivery of AI and automation projects within the customer service function, from discovery and scoping through to deployment and review. Develop and maintain a roadmap of AI initiatives aligned with customer service OKRs and business priorities. Manage project timelines, budgets, risks, and stakeholder communications across multiple concurrent workstreams. Coordinate with external vendors and internal engineering teams to ensure seamless integration of AI solutions with existing CRM, telephony, and other platforms. Operations & Performance Monitor AI system performance (e.g. chatbot containment rates, CSAT, deflection metrics) and drive continuous improvement cycles. Partner with Quality Assurance and workforce planning teams to assess the impact of AI on agent workload, skill requirements, and scheduling. Identify manual or repetitive processes within customer service operations that are suitable for intelligent automation. Ensure AI tools comply with data protection regulations (e.g. UK GDPR) and internal governance frameworks. Stakeholder Engagement & Change Management Act as the primary point of contact between the customer service leadership team and AI/tech delivery functions. Lead change management and communication efforts to ensure frontline agents and team leaders understand, trust, and effectively use AI tools. Facilitate workshops, training sessions, and feedback loops to capture agent insights and refine AI behaviour. Present project updates, performance data, and business cases to senior leadership and executive stakeholders. Governance & Ethics Champion responsible AI practices, ensuring fairness, transparency, and customer trust are embedded into all solutions. Maintain clear documentation of AI model inputs, outputs, decision logic, and escalation pathways. Work with Legal, Compliance, and Data teams to conduct impact assessments and ensure ongoing regulatory compliance. Required Experience & Skills 3+ years of project management experience, ideally within customer service, contact centre, or CX environments. Demonstrated experience delivering AI, automation, or digital transformation projects (e.g. conversational AI, RPA, NLP, knowledge management tools). Strong understanding of customer service operations, including contact centre metrics, workflows, and team structures. Excellent stakeholder management skills, with the ability to translate technical concepts for non-technical audiences. Proficiency with project management methodologies (Agile, Scrum, Waterfall, or hybrid approaches). Analytical mindset with experience using data to track performance and make evidence-based decisions. Familiarity with data privacy obligations relevant to AI, including UK GDPR. Experience with AI/CX platforms such as Salesforce Einstein, Zendesk AI, Google CCAI, Genesys, or similar. Awareness of large language models (LLMs), prompt engineering, and generative AI use cases in a service context. Project management certification (e.g. PMP, PRINCE2, APM, or SAFe). Background in change management, employee engagement, or learning & development. What We Offer 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. 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 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 . We have all the answers!
Tripadvisor LLC in London, United Kingdom is seeking a Principal Machine Learning Scientist to lead the core discovery engine for ranking, retrieval, and recommendations. You will define the ML strategy, build scalable systems, and mentor a high-performing team across machine learning, MLOps, and experimentation. You will drive multi-task models, graph-aware representations, and agentic AI approaches to improve user search, discovery, and itineraries at scale within the Trips vertical.
Aug 20, 2026
Full time
Tripadvisor LLC in London, United Kingdom is seeking a Principal Machine Learning Scientist to lead the core discovery engine for ranking, retrieval, and recommendations. You will define the ML strategy, build scalable systems, and mentor a high-performing team across machine learning, MLOps, and experimentation. You will drive multi-task models, graph-aware representations, and agentic AI approaches to improve user search, discovery, and itineraries at scale within the Trips vertical.
Staff/Principal Machine Learning Scientist - Ranking & Retrieval London, United Kingdom About Tripadvisor 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. 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. If you are passionate about building state-of-the art AI systems and mentoring a high performing team of scientists, this role is for you What You'll Do 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. 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. 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. 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. 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. Skills & Experience: Education: Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. 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: SOTA Retrieval & Ranking: Practical experience with Multi-Task Learning (MTL), Multi-gate Mixture-of-Experts (MMoE), or similar architectures optimized for multi objective optimization. Sequential & Temporal Modeling: Hands on experience building sequential recommendation systems that capture real time user session dynamics and long term historical preferences. Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi modal 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). 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). Agentic AI & Generative AI: Familiarity with Agentic AI frameworks, LLM-driven reasoning, or autonomous planning agents to enhance conversational search and automated itinerary generation. 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). 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. What We Offer 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. 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 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 . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers!
Aug 20, 2026
Full time
Staff/Principal Machine Learning Scientist - Ranking & Retrieval London, United Kingdom About Tripadvisor 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. 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. If you are passionate about building state-of-the art AI systems and mentoring a high performing team of scientists, this role is for you What You'll Do 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. 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. 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. 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. 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. Skills & Experience: Education: Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. 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: SOTA Retrieval & Ranking: Practical experience with Multi-Task Learning (MTL), Multi-gate Mixture-of-Experts (MMoE), or similar architectures optimized for multi objective optimization. Sequential & Temporal Modeling: Hands on experience building sequential recommendation systems that capture real time user session dynamics and long term historical preferences. Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi modal 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). 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). Agentic AI & Generative AI: Familiarity with Agentic AI frameworks, LLM-driven reasoning, or autonomous planning agents to enhance conversational search and automated itinerary generation. 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). 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. What We Offer 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. 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 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 . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers!
Tripadvisor is seeking a Principal Machine Learning Scientist (Experiences) in London to anchor the core discovery engine. You will lead ML strategy, shaping how users search, discover, and organize complex travel itineraries, bridging AI research with production systems. You will mentor a high-performing team, drive multi-objective optimization, and collaborate with cross-functional partners to deliver scalable, high-impact ML solutions for travel experiences.
Aug 01, 2026
Full time
Tripadvisor is seeking a Principal Machine Learning Scientist (Experiences) in London to anchor the core discovery engine. You will lead ML strategy, shaping how users search, discover, and organize complex travel itineraries, bridging AI research with production systems. You will mentor a high-performing team, drive multi-objective optimization, and collaborate with cross-functional partners to deliver scalable, high-impact ML solutions for travel experiences.
Principal Machine Learning Scientist (Experiences) London, United Kingdom About Tripadvisor 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. 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. If you are passionate about building state-of-the-art AI systems and mentoring a high-performing team of scientists, this role is for you What You'll Do 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. 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. 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. 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. 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. Skills & Experience: Education: Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. 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: SOTA Retrieval & Ranking: Practical experience with Multi-Task Learning (MTL), Multi-gate Mixture-of-Experts (MMoE), or similar architectures optimized for multi-objective optimization. Sequential & Temporal Modeling: Hands-on experience building sequential recommendation systems that capture real-time user session dynamics and long-term historical preferences. Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi-modal 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). 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). Agentic AI & Generative AI: Familiarity with Agentic AI frameworks, LLM-driven reasoning, or autonomous planning agents to enhance conversational search and automated itinerary generation. 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). 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. What We Offer 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. 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 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 . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers!
Aug 01, 2026
Full time
Principal Machine Learning Scientist (Experiences) London, United Kingdom About Tripadvisor 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. 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. If you are passionate about building state-of-the-art AI systems and mentoring a high-performing team of scientists, this role is for you What You'll Do 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. 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. 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. 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. 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. Skills & Experience: Education: Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. 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: SOTA Retrieval & Ranking: Practical experience with Multi-Task Learning (MTL), Multi-gate Mixture-of-Experts (MMoE), or similar architectures optimized for multi-objective optimization. Sequential & Temporal Modeling: Hands-on experience building sequential recommendation systems that capture real-time user session dynamics and long-term historical preferences. Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi-modal 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). 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). Agentic AI & Generative AI: Familiarity with Agentic AI frameworks, LLM-driven reasoning, or autonomous planning agents to enhance conversational search and automated itinerary generation. 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). 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. What We Offer 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. 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 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 . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers!