Machine Learning Scientist II

Summary

Join Tripadvisor's Machine Learning Team as a Machine Learning Scientist specializing in content moderation and fraud detection. You will design and implement advanced machine learning models to assess the fairness, reliability, and validity of user-generated content, directly impacting traveler experience. Collaborate with cross-functional teams to translate data into actionable insights, enhancing user trust and satisfaction. This role requires a deep understanding of machine learning principles, strong analytical skills, and a passion for creating equitable solutions. Tripadvisor fosters a culture of personal development with opportunities for growth and improvement. The position offers remote work opportunities.

Requirements

• 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
• Proficiency in Python
• At least 2 years of relevant, practical experience
• Experience with MLOps processes, platforms and tools

Responsibilities

• Design and implement advanced machine learning models aimed at assessing the fairness, reliability, and validity of user-generated content
• Collaborate closely with cross-functional teams, including content specialists/analysts, software engineers, and product managers, to translate complex data into actionable insights
• Guide the development of robust systems that enhance user trust and satisfaction

Preferred Qualifications

• Experience with Snowflake
• Experience with fraud detection and content moderation
• 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)
• Experience with deep learning, modern NLP & machine vision techniques

Benefits

• Culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences
• Remote work