Machine Learning Scientist II (Moderation & Fraud)

We believe that we are better together, and at Tripadvisor we welcome you for who you are. 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.

At Tripadvisor, we never stop learning. This is true both individually and as a company, where constant experimentation helps us to understand how we can continue to grow and improve the user experience for our 500 million unique monthly visitors worldwide. Data-driven decision making is at the core of what we do.

Location: Please note, this position will be either office, hybrid or remote-based within Portugal.

About Machine Learning at Tripadvisor

Tripadvisor is the web's leading travel information site. At Tripadvisor, the Machine Learning Team creates systems that influence the travel decisions of millions of people per day. It applies cutting edge machine learning techniques to a wide variety of areas such as personalization, recommenders, computer vision, and natural language processing (NLP). To ensure continued success, Tripadvisor promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. Have a great time while shaping the future of travel!

What You Will Be Doing

As a Machine Learning Scientist specializing in content moderation and fraud detection, you will play a pivotal role in shaping the future of our content integrity and user experience at Tripadvisor. You will be responsible for designing and implementing advanced machine learning models aimed at assessing the fairness, reliability, and validity of user-generated content. Your work will directly impact how travelers interact with our platform, ensuring they receive high quality, trustworthy information and recommendations.

You will collaborate closely with cross-functional teams, including content specialists/analysts, software engineers, and product managers, to translate complex data into actionable insights. Your insights will guide the development of robust systems that enhance user trust and satisfaction. We seek someone with a deep understanding of machine learning principles, strong analytical skills, and a passion for creating equitable and impactful solutions.

Skills & Experience

• Advanced degree in Computer Science, Engineering, Statistics, or a related field.


• Strong background in machine learning and statistics.


• Solid foundation on data structures and algorithms.


• Ability to write complex SQL queries. Experience with Snowflake is a bonus.


• Proficiency in Python.


• At least 2 years of relevant, practical experience.


• Experience with MLOps processes, platforms and tools.


• [Bonus] Experience with fraud detection and content moderation.


• [Bonus] Experience with LLMs and GAI models, including prompt engineering techniques such as N-shot prompting, Chain of Thought (CoT) prompting and Retrieval-Augmented Generation (RAG).


• [Bonus] Experience with deep learning, modern NLP & machine vision techniques.

We strive to create an accessible and inclusive experience for all candidates.