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.

The Tripadvisor Machine Learning Team is looking for an exceptional individual to lead a team working on designing and building next-generation AI systems to understand our travelers and products and improve customer experience.  Our work will significantly improve our ability to offer travelers the broadest, most relevant travel products.

You will work on a team with other talented machine learning engineers focusing on content-related AI projects. Our initiatives aim to enhance user-generated content accessibility for travelers through AI Review Summaries, Collections, Auto-Tagging & Knowledge Graphs, topic classification, machine translation, and more. This foundational work improves travelers’ exploration of our content and plan their dream vacation! You’ll work with cutting-edge technologies including Natural Language Understanding, Large Language Models (LLMs), Knowledge Graphs, and GenAI.

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: This position is only available for remote work to those currently residing in Portugal or the UK.

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 an experienced 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 in at least one framework such as TensorFlow or PyTorch.
• 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.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 2+ 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, etc.
• Familiarity with 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.

If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to [email protected] and let us know the nature of your request. Please include the job requisition number in your message.

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