Work Placement / Internship

Machine Learning Engineer Internship (6 months)

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Company Description

A Technology Company with a Passion for Innovation

CGG is a pioneering Technology Company providing world class fully integrated Geoscience services within the global Energy sector. We employ in excess of 5,300 people worldwide, who bring a unique blend of talent and energy through working together to deliver unrivalled innovative solutions to our customers.

Join us to deliver unrivalled geoscience insight to our clients, through complex data science techniques and ongoing development of our powerful software.

Through our cutting-edge Technology in Geoscience, we have achieved outstanding leadership with a strong focus on innovation and a commitment to delivering the best sustainable solutions to our clients' energy challenges.

Our own Unique blend of Technology, Science and Creative Thinking

We use a unique combination of pioneering proprietary software, visualisation applications and high performance CPU & GPU computing capabilities. Our scientific teams collaborate with customers, through the analysis, enhancement and creative problem solving of complex data.

Come and join us

CGG leads the geoscience industry by providing cutting-edge geological, geophysical and reservoir expertise to natural resource clients around the globe

Job Description

Become Part of our Team

We are looking for experienced and talented individuals to join our largest European centre, based in South-East England, operating across a diverse global market with high profile international customers.

As a Machine Learning engineer, you’ll play a vital role in the continual development of our processing and imaging techniques. You will work closely with researchers, the software development group and the scientists in our seismic imaging teams to implement deep learning solutions. You will be working with our Geoscientists to validate the potential opportunities for machine learning techniques, prepare data for training and testing, designing the model, training the model and deploying in production. As an integral member of our imaging team, we highly encourage the contribution of ideas and drive in the generation of new concepts, to maintain our outstanding leadership position for technology and service delivery in the market place.

Qualifications

You are likely to be working towards a PHD degree or have completed an MSc in any of the following disciplines but a combination of education and experience will be considered:

  • Computer Science, Mathematics, Physics or similar.

Key Skills & Competencies

  • A passion and aptitude for programming, technology and enthusiasm for analytical and problem solving challenges
  • A good understanding and knowledge of C/C++ & python,
  • Experience with Deep learning neural network building
  • Experience of Deep learning frameworks
  • Proficiency to design, build, test and support innovative solutions
  • The ability to define and manage project deadlines
  • The ability to balance workloads across a wide variety of projects
  • To keep all stakeholders regularly informed on progress
  • To innovate and have fun through collaboration and generation of ideas which lead to enhancements of our workflows
  • An enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction

Additional Information

Learning and Development

Our culture of learning and complementary approach to supported or self-guided career development, enables the design of tailored courses to suit specific needs of each individual to aid personal growth in areas related to technical, commercial and personal skills, via an extensive suite of CGG developed courses, managed through our own CGG University platform.

Benefits Package

  • Initially 22 days' holiday, complemented by a flexible buying and selling holiday programme
  • Company contributory pension plan
  • Flexible Private Medical & Dental care programs, tailored to suit individual or family needs
  • Employee Assistance Program to support our staff

We Care about our Staff and Environment

We recognise the importance of work life balance for our employees, which is supported through our flexible working and relaxed dress code policies.

We recognise and actively support the wellbeing of our staff through many different initiatives:

  • Onsite Exercise classes, almost every day of the week and promoting active lifestyles
  • Onsite Social Games area which provide downtime through the working day
  • Our restaurant, offering great food and a highly effective social and work space
  • Regular social club events, spontaneous reward events throughout the year
  • Many discounts schemes, including Gym membership and a cycle purchase scheme

We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises.

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How to Apply

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Opportunity Overview

  • Ongoing
  • Competitive + benefits
  • All grades
  • 6 months
  • Crawley (West Sussex)
    (Show map)

Disciplines accepted...

  • Computer Science
  • Maths
  • Physics

Contact CGG

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