Overview
Senior Machine Learning Scientist (Generative AI) - Viator. Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. With 300,000+ travel experiences to explore, Viator enables creating memorable experiences with industry‑leading flexibility and last‑minute availability. Viator. One app, 300,000+ travel experiences you’ll remember.
Perks of Working at Viator
* Competitive compensation packages (base salary and annual bonus).
* Remote-friendly collaboration across a worldwide team, with option to join on-site as you’d like.
* Flexible schedule and work‑life balance.
* Donation matching for qualifying charitable donations.
* Tuition assistance for qualified programs.
* Annual lifestyle benefit to spend on travel, wellness, or other personal needs.
* Travel discounts and related perks.
* Employee assistance program and comprehensive health benefits.
Our Values
* We aspire to lead and bring talent, ambition, and knowledge to new heights.
* We are relentlessly curious and push beyond the usual.
* We’re better together and value collaboration and respect.
* We serve our customers, always, with a focus on delivering wow moments.
* We strive for better, not perfect, and foster a safe environment to learn, iterate, and grow.
* Our workplace is inclusive and diverse; bring your unique identities and experiences to help revolutionize travel.
You Will Work On
* Research, prototype, and productionize generative AI models.
* Develop scalable GenAI pipelines that generate high‑quality content (product descriptions, reviews, titles, and other product content).
* Design and evaluate prompt tuning strategies and RAG systems for factual and engaging outputs.
* Fine‑tune foundation models and develop domain‑specific adapters (e.g., LoRA, PEFT, instruction tuning).
* Define best practices for model monitoring (output quality, hallucination detection, user feedback loops).
* Communicate findings to the wider ML team and product teams; understand use cases for Agentic AI.
* Utilize RLHF methodologies to shape behavior and quality of generative outputs.
* Collaborate cross‑functionally with product, design, and engineering to integrate models into user‑facing applications.
* Stay up to date with GenAI research and help shape internal best practices.
* Design, code, experiment, and implement models and algorithms to improve customer satisfaction, supplier value, and operational efficiency.
* Collaborate with product managers and stakeholders to achieve top‑quality outcomes.
* Investigate and adopt innovative concepts with tangible benefits.
To Be Successful In The Role, You’ll Need
* 5+ years of hands‑on data science experience with at least 2 years in LLMs.
* Awareness of current LLM techniques, prompt tuning, evaluations, and model monitoring.
* Strong knowledge of AI/ML/DL, statistics, and open‑source libraries.
* Proficiency in SQL and at least one programming language.
* Experience in code reviews, architectural discussions, and regular model deployments with a multidisciplinary team.
* Experience deploying online solutions and analyzing real‑time results via A/B testing.
* Mentoring experience and a strong desire to help the team perform at its best.
* Leadership, autonomy, and collaboration skills; clear communication and proactive sharing of findings across the business.
Desired Qualifications
* Master’s or PhD in Computer Science, Operations Research, Statistics, or related quantitative discipline.
* Knowledge in user modeling, representation learning, recommender systems, and LLMs.
* Prior experience in e‑commerce or Online Travel Agency contexts.
Job Location
This role is remote or hybrid in the UK, Poland, or Portugal. Occasional travel to company offices as necessary.
Accommodations
If you need a reasonable accommodation or support during the application or recruiting process due to a medical condition or disability, please reach out to your recruiter or email AccessibleRecruiting@Tripadvisor.com with the job requisition number.
(Note: The original content includes location and role specifics and is preserved in adjusted formatting for clarity.)
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