At a Glance
- Tasks: Research and develop generative AI models to enhance travel experiences.
- Company: Join Viator, a leading marketplace for unforgettable travel adventures.
- Benefits: Enjoy competitive pay, flexible work options, and generous travel perks.
- Why this job: Make a real impact in the travel industry with cutting-edge AI technology.
- Qualifications: 5+ years in data science, strong skills in AI/ML, and coding experience.
- Other info: Remote-friendly role with opportunities for career growth and mentorship.
The predicted salary is between 48000 - 72000 Β£ per year.
Senior Machine Learning Scientist (Generative AI) β Viator
London, UK
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\βs never too late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you\βll remember.
Perks of Working at Viator
- Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus.
- \βWork your way\β 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\βd 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\βre here for you with resources and programs to help you through life\βs 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 β and you β to new heights.
- We\βre relentlessly curious. We push beyond the usual, the known, the \βthat\βs just how it\βs done.\β
- We\βre 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\βt get it right the first time β or every time. We\βll 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:
- Research, prototype, and productionize generative AI models.
- Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content.
- Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs.
- Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning.
- Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops.
- Understanding use cases for Agentic AI communicating your findings with the wider ML team and product.
- Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs.
- Collaborate cross-functionally with product, design, and engineering to integrate models into user-facing applications.
- Stay up to date with the latest in GenAI research and help shape internal best practices.
- 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\βll need:
- 5+ years of hands-on data science experience with at least 2 years of experience with LLM
- Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring.
- In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries.
- 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\βs or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines.
- Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM)
- Prior experience in e-commerce or at an Online Travel Agency.
Job Location:This role is a remote position or hybrid 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 and let us know the nature of your request. Please include the job requisition number in your message.
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Tripadvisor collects your personal data for the purposes of managing Tripadvisor\βs recruitment related activities as well as for organizational planning purposes globally. Consequently, Tripadvisor may use your personal data in relation to the evaluation and selection of applicants including for example setting up and conducting interviews and tests, evaluating and assessing the results thereto and as is otherwise needed in the recruitment processes including the final recruitment. If you join Tripadvisor, the personal data collected will become part of your employment record. In all cases, Tripadvisor will retain your information for a period after your application. Tripadvisor retains this information for various reasons, including in case Tripadvisor faces a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs and also to help us better understand, analyze and improve our recruitment processes.
Tripadvisor does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, Tripadvisor has international sites and Tripadvisor uses resources located throughout the world. Tripadvisor may from time to time also use third parties to act on Tripadvisor\βs behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within Tripadvisor group of companies as well as to third parties acting on Tripadvisor\βs behalf, including also transfers to servers and databases outside the country where you provided Tripadvisor with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and to the United States of America, in order to contact your referees or to detect, prevent or otherwise address fraud, security or technical issues, or to protect against harm to the rights, property or safety of Tripadvisor, our users, applicants, candidates, employees or the public or as otherwise required by law. We have put in place adequate safeguards with respect to the protection of your privacy, rights and freedoms, and the exercise of your rights.
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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.
Senior Machine Learning Scientist (Generative AI) - Viator employer: TripAdvisor LLC
Contact Detail:
TripAdvisor LLC Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Machine Learning Scientist (Generative AI) - Viator
β¨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Viator or similar companies. A friendly chat can open doors and give you insider info that could help you stand out.
β¨Tip Number 2
Prepare for the interview by diving deep into generative AI topics. Brush up on the latest trends and be ready to discuss how your experience aligns with Viator's mission. Show them you're not just a fit, but the perfect fit!
β¨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to simulate the real deal. This will help you articulate your thoughts clearly and confidently when itβs your turn to shine.
β¨Tip Number 4
Donβt forget to follow up after your interview! A quick thank-you email can leave a lasting impression. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Senior Machine Learning Scientist (Generative AI) - Viator
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Scientist role. Highlight your experience with generative AI and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about generative AI and how you can contribute to our mission at Viator. Keep it engaging and personal β we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool projects related to AI/ML, make sure to mention them! Include links to your GitHub or any publications if applicable. Weβre keen to see your hands-on experience and innovative ideas.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way to ensure your application gets into the right hands. Plus, it shows us that you're serious about joining our team at Viator!
How to prepare for a job interview at TripAdvisor LLC
β¨Know Your Generative AI Stuff
Make sure you brush up on the latest trends and techniques in generative AI. Be ready to discuss your hands-on experience with LLMs, prompt tuning, and model monitoring. Showing that you're up-to-date will impress the interviewers at Viator.
β¨Showcase Your Collaboration Skills
Since this role involves working cross-functionally, be prepared to share examples of how you've successfully collaborated with product managers, designers, and engineers in the past. Highlighting your teamwork will demonstrate that you can thrive in their environment.
β¨Prepare for Technical Questions
Expect some technical questions related to SQL and programming languages. Brush up on your coding skills and be ready to discuss your approach to deploying online solutions and analysing results through A/B testing. Confidence in your technical abilities is key!
β¨Communicate Clearly and Effectively
Viator values clear communication, so practice explaining complex ideas simply. Think about how you can convey your findings and insights in a way thatβs easy for non-technical stakeholders to understand. This will show that you can bridge the gap between tech and business.