Machine Learning Engineer/ Researcher 2023 Program

Company Description

CGG () is a global technology and HPC front-runner that offers data, products, services, and solutions in Earth science, data science, sensing, and monitoring. Our distinctive portfolio aids our clients in solving complex digital, energy transition, natural resource, environmental, and infrastructure problems for a more sustainable future effectively and responsibly.

Job Description

We are seeking talented individuals with a fervor for programming and zeal for analytical and problem-solving challenges to join our team!

As a Machine Learning Engineer, you will play a crucial role in the ongoing development of our processing and imaging techniques. You will collaborate closely with researchers, the software development group, and the scientists in our seismic imaging teams to implement deep learning solutions.

You will work alongside our geoscientists to verify the potential opportunities for machine learning techniques, prepare data for training and testing, design the model, train the model and launch it in production.

Team Description

At CGG, you will find open and collaborative problem solvers keen on working together to tackle the challenges of an evolving planet. Being a part of us means that your individual contribution will make an impact in a diverse team devoted to performance.

As an essential member of our imaging team, we strongly endorse idea contribution and driving the generation of new concepts to maintain our exceptional leadership position for technology and service delivery in the market.

Location

The successful candidates will join our largest European center, situated in Crawley, a town near London Gatwick Airport and just outside the M25 with excellent transport links to Central London and the South Coast. #LI-Hybrid

Application process

We aim to inform every candidate about their initial application result within a week of applying and, if successful, invite them to the next stage, which is a technical test and a first interview via MS Teams with a team. Successful candidates will be invited for a final interview with the hiring team, via MS Teams.

Please include a with your application. Please note that we do not accept reapplications.

Qualifications

You are likely to hold a PHD degree 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 skill for programming, technology and enthusiasm for analytical and problem-solving challenges
• Strong experience in developing and debugging in Python and preferably at least one of other main languages (C/C++/ java)
• Demonstrated experience with deep learning frameworks and use of DL libraries (TensorFlow/Pytorch)
• Ability to design, build, test, and support innovative solutions
• Ability to define and manage project deadlines
• Ability to balance workloads across various projects
• Commitment to keeping all stakeholders regularly informed on progress
• Innovation capacity and having fun through collaboration and idea generation leading to enhancements of our workflows
• An enthusiastic attitude towards learning and the versatility to adapt to new challenges or changes in direction

Additional Information

Our , and on Gradcracker should give you insight into the working environment at CGG, the projects we work on, and some application tips! and the pages are also excellent places to investigate life at CGG.

Why work at CGG?

• Competitive commensurate with experience
• Highly attractive bonus scheme
• Initial 22 days of annual leave with future increases, complemented by a flexible holiday buying and selling program
• Company pension with generous employer contribution
• Wellbeing Unmind app - puts you in control of your mental health
• A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more!
• Regular social club events, spontaneous reward events throughout the year
• Bicycle purchase scheme
• Flexible Private Medical & Dental care programs
• Visa sponsorship/comprehensive relocation packages

We are Flexible

• Flexible Working – through our hybrid working scheme, we offer a flexible mix of home and office working
• Bank Holiday Swap - our holiday swap program allows you to exchange it for another day of your choice!
• Relaxed dress code policy

Learning and Development

At CGG, you will have the space to grow at the pace of your passion and explore opportunities available to those who dare and deliver.

Our learning culture and complementary approach to supported or self-guided career development enable the design of tailored courses that meet the specific needs of our employees to aid personal growth in areas related to technical, commercial, and personal skills, managed through our own Learning Hub.

We Care about the Environment

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