Senior Machine Learning Engineer

Data Science Team is looking for an exceptional experienced Senior Machine Learning Engineer to help lead the design and implementation of next generation systems to help our users discover, iterate, and execute on their travel plans. Our team is focused on recommendation, personalization, explanation, and enhanced user interaction across multiple business verticals including Tripadvisor Experiences, Accommodations, and Restaurants. As a Machine Learning Engineer working in this space, you will have the opportunity to apply your modeling and engineering skills to a number of different areas, with a particular focus on recommendations, generative AI, NLP, and system design.

DataScience and ML 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, including recommenders, computer vision, and natural language processing.

Skills & Experience:
● PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred
● 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
● Experiences 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 LLM prompt engineering
● Experience with online businesses

What You'll Do:
● 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
● 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.