Senior Machine Learning Engineer at Tripadvisor
Needham, Massachusetts, United States
🇺🇸 (Posted Jun 29 2018)
About the company
TripAdvisor, the world's largest travel site*, enables travelers to unleash the full potential of every trip. With over 630 million reviews and opinions covering the world's largest selection of travel listings worldwide – covering approximately 7.5 million accommodations, airlines, experiences, and restaurants -- TripAdvisor provides travelers with the wisdom of the crowds to help them decide where to stay, how to fly, what to do and where to eat. TripAdvisor also compares prices from more than 200 hotel booking sites so travelers can find the lowest price on the hotel that's right for them. TripAdvisor-branded sites are available in 49 markets, and are home to the world's largest travel community of 455 million average monthly unique visitors**, all looking to get the most out of every trip.
Tripadvisor’s Machine Learning group works on machine learning and statistical analysis problems across several areas of the company. These include a diverse set of problems including personalization, fraud detection, search / navigation, and content curation. We use advanced techniques in natural language understanding, statistical NLP, recommender systems, information retrieval, statistical inference, social network analysis, and machine vision.
We are looking for an experienced machine learning engineer / data scientist with broad knowledge of machine learning techniques to help design and implement machine learning solutions throughout the company. You’ll be relied upon to find new opportunities to use these techniques to improve TripAdvisor’s business. You’ll be working with a multidisciplinary team of smart people including data scientists, developers, and product managers. You will be testing your hypotheses and product on our 455M monthly unique visitors. You must be comfortable communicating your approaches to project managers across the company.
Skills & requirements
What you will bring to the team:
PhD (preferred) or Masters in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Operations Research or similar field OR 5 years industry experience in same.
Excellent communications skills
A passion for solving real world problems with machine learning
Experience working with natural language, machine vision, collaborative filtering, clustering, classification, regression, information retrieval, and/or statistical modeling.
Fluency with statistical / ML tools such as R, Python scikit-learn, Keras, or Tensorflow
Knowledge and experience of SQL and relational databases
A plus if you can bring:
Knowledge of Hadoop, Hive, Redshift, Spark or other big data tools
Proficiency in a general purpose programming language, including but not limited to Java or C++
Instructions how to apply
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