Senior Machine Learning Scientist (User Modelling/ Representation Learning)

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<p>As a Senior Machine Learning Scientist at TripAdvisor, you will play a vital role in developing and implementing cutting-edge user modelling and representation learning techniques. Your expertise in machine learning and data science will be crucial in enhancing our user experience and driving business growth. We are looking for an experienced and driven individual who thrives in a collaborative environment and is passionate about leveraging data to deliver impactful solutions. Join our dynamic team and be part of revolutionizing the travel industry! Develop and implement state-of-the-art user modelling and representation learning techniques to enhance user experience and drive business growth. Utilize expertise in machine learning and data science to deliver impactful solutions for TripAdvisor. Collaborate with cross-functional teams to understand business needs and develop appropriate machine learning solutions. Continuously research and stay up-to-date on industry trends and advancements in machine learning and data science. Analyze and interpret large datasets to identify patterns and insights that inform machine learning models. Design, train, and evaluate machine learning models to improve user experience and business outcomes. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner. Mentor and support junior team members in developing their machine learning skills. Identify and troubleshoot issues with existing machine learning models and provide timely solutions. Collaborate with product and engineering teams to integrate machine learning models into TripAdvisor’s products and services. Act as a subject matter expert in machine learning and data science, providing guidance and thought leadership to the organization. Embrace a data-driven culture and continuously seek opportunities to leverage data to drive business value.</p><p>TripAdvisor is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.</p>

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