Come and Join Schlumberger's AI Lab in Clamart, France. We are currently offering an internship to bright minds specializing in Data Science and Artificial Intelligence. Discover a multinational company. We have brought a little bit of the Silicon Valley to Paris. Experience working within a team of young and fun, passionate Data Scientists, tackling real business challenges, in tandem with business experts who are sitting at your desk. The Artificial Intelligence & Machine Learning Data Scientist helps develop software and processes that can be used for robotics, artificial intelligence programs and application. In close collaboration with the business and métiers, the data scientist offers mathematical and statistical models from the collected data to augment, improve or speed up human decisions within the Oil & Gas sector. With Schlumberger you will be given the opportunity to apply your expertise and deploy deep learning solutions at scale on real-world problems, supporting many areas of Schlumberger's business. Schlumberger is the first Oil & Gas service company to move its processes and workflows in the cloud. This gives the Embedded AI Lab the perfect opportunities to leverage these innovative technologies and resources. As part of the Embedded AI Lab you will be able to test, experiment and research with the bleeding edge environment with Petabits and Petabits of data. You will be in charge of applying research and delivery of Proof of Concepts solutions, responding to a clear and specific business needs. Description Cross-lingual transfer learning has been shown to be useful for popular NLP tasks such as machine translation, text classification, and multilingual embeddings learning, especially when aided by modern pre-trained language models (see references below). However, this approach has been mostly limited to general domain corpora and applications. In this internship, we want to unleash the power of cross-lingual transfer learning to the energy field, where we have a large volume of textual data in different languages across the world. We aim to add multilingual support to our current and ongoing NLP models by applying cross-lingual transfer learning techniques. As an Artificial Intelligence Engineer intern, you will learn and practice: - Cross-lingual transfer techniques - Large scale NLP multilingual pre-trained models - Data engineering - NLP applications such as information extraction, rich text document analysis, etc. Essential Responsibilities and Duties - The responsibilities will be to research state of the art in this domain, which could be applied to deliver the required outcome. - The candidate will learn the latest and greatest in the context of our described challenge. - Research, Model, Solution, and Report will be part of the deliveries for this internship. - Additional opportunities to produce recorded webinars and marketing 2 min recording pitches will most likely occur during the internship. Required skills - Natural language processing - Applied mathematics, probability & statistics, deep learning - Programming language: Python, PyTorch or Keras/Tensorflow Qualifications - End studies internship, master student or engineering school student - We provide opportunities to start a Ph.D. study or sign a full-time job at the end of the internship. References: - Conneau, Alexis, et al. "Unsupervised Cross-lingual Representation Learning at Scale." Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020. - Chi, Zewen, et al. "InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training." Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021. - Dou, Zi-Yi, and Graham Neubig. "Word Alignment by Fine-tuning Embeddings on Parallel Corpora." Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. 2021. Application: Apply for this position today: https://careers.slb.com/jobaddetail.aspx?id=49422