Senior Machine Learning Engineer - GenAI - Remote

Overview

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.

In Short

• Seek out new opportunities to apply data science and machine learning to the business (e.g., personalized recommendations, NLP, customer modeling) across all channels (e.g., Web, email, paid marketing)
• Work with other teams in solving problems and identifying opportunities
• Lead the design of machine learning models to solve a variety of core business problems in customer acquisition, retention, and reactivation
• Automate ETL pipelines
• Prototype, evaluate, deploy and maintain new models in production
• Design AB tests and analyze their results
• Discover new ways to analyze and interpret the data
• Communicate progress and interpretation of experimental results to technical and business stakeholders
• Lead the determination of next steps for each project.

Requirements

• PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred
• Experience with LLM prompt engineering and AI agents
• Strong software engineering skills
• Experience with Recommender Systems
• Experience with Natural Language Processing
• Strong background in machine learning and statistics
• Solid foundation on data structures and algorithms
• Proficiency in Python for numerical/statistical programming (our group relies heavily on Pandas/Numpy/Scikit-learn/PyTorch)
• Ability to write complex SQL queries
• Experience with big data technologies, such as Snowflake and Spark
• Knowledge of AB test design and analysis
• Track record of leading the deployment and maintenance of models
• At least 3 years of relevant, practical experience
• Experience with online businesses.

Benefits

• Promotes a culture of personal development
• Social activities
• Journal clubs
• Memberships in online learning resources
• Participation in industry conferences