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.

Tripadvisor is looking for an experienced ML II to join our dynamic and fast paced Machine Learning Team on our Viator brand, home to over 300K bookable experiences worldwide. As a member of this team, you will have the opportunity to work on a wide range of complex and interesting business problems including: recommender systems, NLP/NLU, computer vision, online advertising and targeting, ranking algorithms, and more.  You will have access to the newest development tools and huge data sets.  You will deploy your solutions online and be able to observe the impact of your work in real time as you help the company grow. This is a great opportunity to make your mark on a growing brand in the Tripadvisor family strongly recovering post Covid-19. 

What you will do:

• Build (and deploy end to end) advanced supervised and unsupervised machine learning models - e.g. XGBoost/LightGBM, neural networks (auto-encoders, feedforward networks, RNNs/CNNs, language models, etc.), bandit/Bayesian algorithms, time-series modeling, and more.
• Lead projects from concept to implementation: data exploration, modeling, productizing & support deployment and integration
• Assess the impact of your work through A/B test experiments
• Be creative and efficient in the modeling approach using rich and large datasets
• Work in a fast paced environment  (1 to 3 month projects)
• Collaborate with a broad multidisciplinary team of data scientists, analysts, software engineers, and product managers
• Work with other teams to review project specifications and schedule project work

What you will bring to the team:

• Masters in Computer Science, Engineering, Statistics, or related field with at least 2 years of industry experience or PhD.
• Strong background in machine learning and statistics. Solid foundation in data structures and algorithms.
• Experience in building, deploying ML models in production.
• Experience training deep neural networks are nice to have.
• Experience with natural language processing are nice to have.
• Proficiency in Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn).
• Ability and appetite to work in a fast paced environment (projects taking 1-3 months). 
• Excellent problem-solving and analytical skills
• Ability to communicate effectively with audiences of various background, level and function.

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at [email protected]. 

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