Artificial Intelligence Intern – Cross-lingual transfer learning for the energy industry NLP applications (6 months) | Schlumberger

Job Details

Artificial Intelligence Intern – Cross-lingual transfer learning for the energy industry NLP applications (6 months)

Clamart - France

Job title:

Artificial Intelligence Intern – Cross-lingual transfer learning for the energy industry NLP applications (6 months)

 

Location:

Clamart, France

 

About Schlumberger:

We are Schlumberger, the leading provider of technology and services to the energy industry. Throughout much of the oil and gas lifecycle in over 120 countries; we design, develop, and deliver technology and services that transforms how work is done.

We define the boundaries of the industry by unleashing our talented people’s energy. We’re looking for innovators to join our diverse community of colleagues and develop new solutions and push the limits of what’s possible. If you share our passion for discovery and want to find out what you could really do, then here is the place to do it.

 

Job Summary:

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 2min recording pitches will most likely occur during the internship.

 

Qualification:

  • 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.

 

Competencies:

  • Natural language processing
  • Applied mathematics, probability & statistics, deep learning
  • Programming language: Python, PyTorch or Keras/Tensorflow

 

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.

 

Schlumberger is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.

 

 

 

Artificial Intelligence Intern – Cross-lingual transfer learning for the energy industry NLP applications (6 months)
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