**Company: Tripadvisor Job Description Summary: The Tripadvisor Machine Learning Team is looking for a skilled individual to lead a team in designing and building advanced AI systems to enhance customer experience. This role involves working on content-related AI projects to improve user-generated content accessibility for travelers. The successful candidate will need to have a strong background in machine learning engineering, as well as experience with Python, machine learning libraries, and deploying models in production environments. This remote position is available for individuals residing in Portugal or the UK with at least 5 years of experience in the field. Job Description: 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 • Lead the design, development, and deployment of machine learning models and systems in production. • Develop advanced techniques in natural language understanding (NLU), statistical NLP, language modeling, transfer learning, in-context learning (zero-shot, few-shot, etc.), recommender systems, learning-to-rank models, statistical inference and deep learning. • Collaborate with cross-functional teams to identify opportunities and develop solutions to complex problems. • Stay current with the latest advancements in machine learning and apply them to improve existing systems and processes. • Mentor junior team members and provide technical guidance and expertise. • Drive innovation and contribute to the overall growth and success of the machine learning team. • Design A/B tests and analyze their results. Who You Are • You are an experienced machine learning engineer with a strong background in developing and deploying production-grade models. • You have a proven track record of leading projects from conception to completion, delivering high-quality results on time and within budget. • You thrive in a fast-paced environment and are able to adapt quickly to changing priorities and requirements. • You are a proactive problem-solver with excellent communication and collaboration skills. • You are passionate about machine learning and are committed to continuous learning and professional development. Qualifications • PhD. or Masters degree in Computer Science, Engineering, Mathematics, or a related field; advanced degree preferred. • 5+ 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. • Strong understanding of machine learning algorithms and techniques, including deep learning, reinforcement learning, and natural language processing. • Solid foundation of data structures and algorithms. • Experience following Software Engineering best practices including source control, code reviews, CI/CD, and automated testing. • Ability to write efficient and maintainable SQL queries. • Experience deploying machine learning models in production environments using cloud platforms such as AWS or GCP, using Docker and Kubernetes. • Experience with distributed computing: Snowflake, Apache Spark, Ray. • Experience building data pipelines with tools such as Kubeflow, Argo, and Jenkins. • Experience with model tracking and deployment tools such as MLFlow, Seldon, and Sagemaker. • Excellent problem-solving skills and attention to detail. • Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. • Experience solving problems in some of the following areas: natural language processing (NLU, NER, word embeddings, LSTM), transfer learning, in-context learning (zero-shot, few-shot etc.), information retrieval, knowledge graphs, and statistical modeling 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 and let us know the nature of your request . Please include the job requisition number in your message. #LI-GW1
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“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
