Machine Learning Engineer I - GenAI

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. About the Role The Tripadvisor GenAI Team is looking for an exceptional individual to design and develop the next-generation AI systems to understand our travelers and products to improve customer experience. Such work will allow a significant improvement in our ability to offer travelers the broadest, most relevant travel products. This individual will have the opportunity to lead projects on the team, including those related to NLP, recommendations, topic detection, and more. Tripadvisor is the web's leading travel information site. At Tripadvisor, the Machine Learning 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, vision, information retrieval, and natural language processing. To ensure continued success, Tripadvisor promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. Have a great time while shaping the future of travel! Location: Please note, this position will be either office, hybrid or remote-based within Portugal. What You Will Do Collaborate with senior members of the team to design, implement, and deploy machine learning models and systems. Participate in all stages of the machine learning development lifecycle, from data collection and preprocessing to model evaluation and deployment. Work closely with cross-functional teams to understand business requirements and translate them into machine learning solutions. Contribute to the improvement of existing machine learning pipelines and infrastructure. Stay up-to-date with the latest trends and technologies in machine learning and share knowledge with the team. Who You Are You are a machine learning engineer with experience in developing and deploying machine learning models. You have a solid understanding of machine learning concepts and algorithms, with hands‐on experience using generative AI to solve real‐world problems. You have strong problem‐solving skills and attention to detail. You are eager to learn and grow in a collaborative team environment. You have good communication skills and can effectively communicate technical concepts to both technical and non‐technical stakeholders. Skills & Experience Master's degree in Computer Science, Engineering, Mathematics, or a related field. 1 – 3 years of experience in machine learning engineering or a related field. Proficiency in Python and experience with machine learning libraries such as PyTorch, TensorFlow, Jax, spaCy, NLTK, Hugging Face Transformers, LangGraph, etc. Knowledge in integrating generative AI models, prompt engineering, model tuning, and working with LLMs and AI agents. Strong understanding of machine learning algorithms and techniques, including deep learning, reinforcement learning, and natural language processing. Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of software development best practices, version control systems, and collaborative coding workflows, CI/CD, and automated testing. Excellent communication and teamwork skills, with the ability to work effectively in a collaborative environment. 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 Ver o e-mail no tdrct.com LI-GW1 How to Apply Interested in this position? Please submit your resume and cover letter through the application portal. Get the latest tech news, tutorials, and updates delivered to your inbox. #J-18808-Ljbffr