Senior Machine Learning Scientist (Experiences)

About Tripadvisor

The Tripadvisor Group connects people to experiences worth sharing and aims to be the worlds 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.

As our new Senior Machine Learning Scientist youll be joining the Tripadvisor Experiences R&D Team. This team is evolving the worlds leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 400000 travel experiences to exploreeverything from simple tours to extreme adventures (and everything in between) making memories that will last a lifetime has never been easier.

About the Role

Youll serve as a key technical lead and pod architect within our core discovery engine. You will independently own and execute the machine learning strategy for major product capabilitiessuch as Search Retrieval Ranking or Content AIthat power how millions of users discover and plan their travel itineraries.

This Senior Machine Learning Scientist role bridges the gap between state-of-the-art (SOTA) research and robust production-grade engineering. You will navigate technical ambiguity implement custom algorithmic components and explicitly map offline model metrics directly to business KPIs like booking conversion and user engagement. If you are a relentlessly curious scientist who excels at rapid prototyping practical SOTA deployment and multiplying the capabilities of your peers this role is for you.

What Youll Do

• Technical Leadership & Custom Implementation: Act as the technical lead for specific ML projects within your pod. Design and implement custom model components or loss functions that dont exist off-the-shelf breaking down massive research goals into deliverable iterative milestones.
• Optimization & SOTA Scouting: Evaluate the global research landscape to conduct cost-benefit analyses on new architectures balancing model complexity against inference speed memory usage and execution costs (such as token consumption). Optimize models for production using techniques like quantization and distillation.
• Operational Frameworks & Rigor: Tailor Golden Datasets and leaderboards with minimal supervision and implement rigorous validation automation (such as backtesting and slice-based evaluation) to prevent data leakage over-fitting and production regressions.
• Engineering Partnership & Handovers: Collaborate closely with Engineering Leads to ensure compute/GPU infrastructure supports model requirements. Clearly define model failure modes edge cases and confidence thresholdsto enable SWE partners to build robust fallback systems.
• Applied Debugging & Guardrails: Diagnose complex algorithmic bugs and implement automated checks for Silent Failures (e.g. concept drift or production feature distribution shifts). Lead team-level post-mortems and resolve blocking corrective actions.
• Career Multiplier: Formally mentor mid-level and associate ML scientists reviewing their experimental logic to ensure high scientific rigor while guiding them through applied ML and production constraints.

Skills & Experience

• Education: Masters or Ph.D. degree in Computer Science Machine Learning Statistics or a highly quantitative field.
• Experience: 5 years of industry experience developing validating and deploying large-scale ML models in production environments.
• Algorithmic Expertise: Strong practical and theoretical foundation in machine learning techniques feature engineering and deep learning paradigms.
• SOTA Adaptability: Proven ability to tweak hybridize and adapt existing state-of-the-art architectures to solve non-linear business problems. Experience with multi-task learning (MTL) ranking Content AI stacks Agentic AI etc is highly desirable.
• Technical Stack: Mastery of Python and deep learning frameworks (such as PyTorch PyTorch Lightning or TensorFlow) alongside familiarity with data versioning and experiment tracking tools.

Desired

• Next-generation retrieval pipelines multi-stage ranking systems and Content AI stacks.
• Advanced sequential recommendation systems designed to model real-time user session dynamics.
• Graph Neural Networks (GNNs) knowledge graphs and multi-modal representation learning to map travel entities.
• Generative AI and Agentic AI workflows to improve conversational discovery experiences.

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 youd 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. Were here for you with resources and programs to help you through lifes 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 elses 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!

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