About Viator
Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ 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. Viator. One app, 300,000+ travel experiences you’ll remember.
Perks of Working at Viator
- Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary, annual bonus, and equity.
- “Work your way” with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like.
- 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.
Tripadvisor is looking for a Senior Machine Learning Scientist on our Viator brand, home to over 300K bookable experiences worldwide. Our 12 strong team works across some of the most
exciting problems in e-commerce and travel, including:
- Sort & Ranking
- User Recommendations
- Product Understanding
- Pricing
- User Acquisition & Retention
- Online Advertising
Working across the Viator brand, you will work at the cutting edge of the following disciplines:
- Deep Learning
- Bayesian Modeling
- Large Language Models (LLMs)
- Product embeddings
- Recommender Systems
- Computer Vision
At Viator, we understand that Machine Learning is a broad and evolving field. Whether you are a seasoned expert in Deep Learning, or have a wider range of expertise across multiple areas,
within the Viator team you will be encouraged to find your niche to make an impact on our travellers. You will deploy your solutions online and observe your work's impact in real-time via
A/B tests as you help the company grow. You should expect to work closely with a cross disciplinary team to develop, test and deploy models into production regularly.
What you will bring to the team:
- A postgraduate degree in Machine Learning / AI or a related discipline OR demonstrable experience with the data science lifecycle - i.e. from problem definition to model deployment and beyond (monitoring and improvement).
- Proficiency in Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn).
- An understanding of MLOps and best practices around experimentation, deployment and monitoring. You should be familiar with concepts such as data versioning, model versioning, model monitoring and CI/CD for DS&ML
- A flair for business understanding, with the ability to communicate effectively with audiences of various backgrounds, levels, and functions.
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].
Our Values
- We aspire to lead. Tap into your talent, ambition, and knowledge to bring us – and you – to new heights.
- We’re relentlessly curious. We push beyond the usual, the known, the “that’s just how it’s done.”
- We’re better together. We learn from, accept, respect, support, and value one another– and are creating something remarkable in the process.
- We serve our customers, always. We listen, question, respond, and strive for wow moments.
- We strive for better, not perfect. We won’t get it right the first time – or every time. We’ll provide a safe environment in which to make mistakes, iterate, improve, and grow.
- Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.
