At a Glance
- Tasks: Join our Recommender Systems team to enhance personalised travel recommendations.
- Company: Viator, a Tripadvisor company, connects you with 300,000+ unforgettable travel experiences.
- Benefits: Enjoy flexible work options, competitive pay, tuition assistance, and travel perks.
- Why this job: Be part of a culture that values curiosity, collaboration, and continuous improvement in the travel industry.
- Qualifications: 5+ years in data science, strong AI/ML knowledge, and experience with recommendation systems required.
- Other info: Remote-friendly role with opportunities for mentorship and professional growth.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Senior Machine Learning Scientist (Recommender Systems) – Viator
London, England, United Kingdom
About Viator
Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore—everything from simple tours to extreme adventures (and all the niche, interesting stuffin 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 and annual bonus.
- “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.
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.
You will work on:
- The Recommender Systems group is tasked with delivering highly relevant, personalised product ranking and recommendations to users across the entire Viator product. Further improving our product rankings with state of the art approaches has high level executive support and is a crucial part of the company’s 3 year strategy.
- Get to work on a variety of Recsys modalities using a modern tech stack with a freedom to explore modelling approaches to find the optimal solution.
- Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency.
- Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives.
- Investigate and adopt innovative concepts that offer tangible benefits.
To be successful in the role, you'll need:
- 5+ years of hands-on data science experience.
- In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries.
- Previous experience of working on industrial grade recommendation systems and ideally familiarity with offline evaluation techniques.
- Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges.
- Strong skills in SQL and at least one programming language.
- To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments.
- Experience in deploying online solutions and analysing real-time results through A/B testing.
- To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability.
- Leadership qualities, autonomy, and team collaboration skills.
- Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively.
Desired qualifications:
- Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines.
- Knowledge in (any or all) User Modelling, Representation Learning, Large Language Models (LLM)
- Prior experience in e-commerce or at an Online Travel Agency.
Job Location: This role can be on-site hybrid or a remote position in the UK, Poland or Portugal. Occasional travel to company offices as necessary.
If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email toAccessibleRecruiting@Tripadvisor.com and let us know the nature of your request. Please include the job requisition number in your message.
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Senior Machine Learning Scientist (Recommender Systems) - Viator (London) employer: TripAdvisor LLC
Contact Detail:
TripAdvisor LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Scientist (Recommender Systems) - Viator (London)
✨Tip Number 1
Familiarise yourself with the latest trends in recommender systems and machine learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with current or former employees of Viator on platforms like LinkedIn. Engaging in conversations about their experiences can provide you with valuable insights into the company culture and expectations, which you can leverage during your application process.
✨Tip Number 3
Prepare to showcase your problem-solving skills by thinking of real-world data challenges you've faced in previous roles. Be ready to discuss how you approached these challenges and the impact of your solutions, as this aligns with Viator's focus on practical applications.
✨Tip Number 4
Brush up on your SQL and programming skills, particularly in languages relevant to machine learning. You might be asked to solve technical problems or discuss your coding approach, so being well-prepared can set you apart from other candidates.
We think you need these skills to ace Senior Machine Learning Scientist (Recommender Systems) - Viator (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly with recommender systems. Use keywords from the job description to demonstrate that you meet the specific requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for travel and technology. Explain how your skills in AI/ML/DL can contribute to Viator's mission of enhancing customer experiences through personalised recommendations.
Showcase Your Projects: Include examples of past projects or work that relate to recommendation systems. Discuss the methodologies you used, the challenges you faced, and the outcomes achieved to illustrate your hands-on experience.
Prepare for Technical Questions: Anticipate technical questions related to machine learning algorithms, SQL, and programming languages. Be ready to discuss your approach to problem-solving and how you would tackle real-world data challenges in the role.
How to prepare for a job interview at TripAdvisor LLC
✨Showcase Your Technical Skills
As a Senior Machine Learning Scientist, you'll need to demonstrate your expertise in AI, ML, and DL. Be prepared to discuss specific projects where you've implemented recommendation systems, detailing the algorithms and techniques you used.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Practice explaining your thought process when tackling real-world data challenges, especially those related to recommender systems and A/B testing.
✨Highlight Collaboration Experience
Viator values teamwork, so be ready to share examples of how you've collaborated with product managers and stakeholders. Discuss how you ensured top-quality outcomes and how you communicate complex ideas effectively.
✨Demonstrate Your Passion for Mentoring
Since the role involves mentoring junior team members, express your enthusiasm for helping others grow. Share experiences where you've guided colleagues or contributed to a positive team environment.