Artificial Intelligence Intern – Continual Learning for Deep Learning Models in Production (6 months) | Schlumberger

Job Details

Artificial Intelligence Intern – Continual Learning for Deep Learning Models in Production (6 months)

Clamart - France

Job title:

Artificial Intelligence Intern – Continual Learning for Deep Learning Models in Production (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:

Schlumberger is constantly developing Artificial Intelligence and Machine Learning models for various applications and domains in the Oil&Gas and the New Energy industries. An important number of those models are deployed in the field and commercialized within drilling and logging tools or in our software solutions such as Delfi. As constant new data streams are acquired and used as input to the model, we would like to leverage them for continuous model improvement; meaning to support the ability of a model to autonomously learn and adapt in a production setting. This internship aims at exploring continual learning methods and capabilities.

The deployed models have been trained in advance on open-source datasets and optimized to generalize on new datasets. However, some performance limitations can occur when dealing with new datapoints. Consequently, we aim at using the upcoming data from the production setting to retrain models and boost their performance.

 

Essential Responsibilities and Duties:

Continual learning poses several interesting challenges we would like to address, such as:

  • Catastrophic forgetting
  • Automatic model convergence
  • Managing different data distributions
  • Smart data labeling and selection
  • Robust retraining workflow

We aim at applying the produced continual learning workflow for deep classification and segmentation projects for Well Integrity, geology interpretation or surface testing.

 

Qualification:

  • Master’s degree – 2nd year or final year of Engineering School

 

 Competencies:

  • Skills: applied mathematics, probability & statistics, statistical learning
  • Programming language: Python, scikit-learn, PyTorch or Keras/Tensorflow 

 

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 – Continual Learning for Deep Learning Models in Production (6 months)
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