, Netherlands

Job Family Group:

Research and Development

Worker Type:

Regular

Posting Start Date:

July 20, 2026

Business Unit:

Information & Digital Technology

Experience Level:

Experienced Professionals

Job Description:

THERE IS A PREFERRED CANDIDATE FOR THIS POSITION.

As we transition to cleaner forms of energy, the challenge facing the energy industry in the coming decades is considerable. AI is playing a crucial role in navigating through the uncertainties of the energy future. In this role, you will contribute to the AI innovation within the company.

As an innovation organization, we maintain a portfolio of digital projects driven by applied research, new product innovation, product contribution and infrastructure goals. As an AI Researcher, you will setup large-scale experiments and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating proof of concepts and prototyping implementations to designing new architectures, our AI Researchers work on real-world problems that span the breadth of various lines of business. By leveraging geospatial data and advanced AI, you will help generate actionable insights about the Earth and the built environment, supporting cleaner, more efficient, and more sustainable energy transition pathways. As an AI Researcher, you'll also actively contribute to the wider Shell.ai community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with strategic partners, universities, and technical institutes all over the world.

If you want to learn more about Shell.ai, check out this link –

https://www.shell.com/energy-and-innovation/digitalisation/digital-technologies/shell-ai.html

What’s the role –

You will be responsible for innovation, concept development and productizing of AI/deep learning applications with direct business impact. More specifically, responsibilities in your role includes:

Expected to be a key technical researcher/developer on deep learning and AI projects
Develop technical proposals and research activities for applied AI across Shell’s businesses.
Lead applied research and prototyping in geospatial AI, including geospatial data processing, agentic AI for geospatial use cases, and self-supervised learning approaches.
Consult stakeholders in technical feasibility/data quality/models for their problems.
Use innovative research to develop novel technologies from ideation to deployment.
Drive solutions to commercial value, and collect feedback from end-users.
Design novel AI algorithms and incorporate emerging AI technologies into our applications.
Engage with internal and external stakeholders (partners/universities), and communicate technical approaches/results to a general audience.
Analyze real-world engineering & scientific datasets, and explore their use for AI solutions
Implement and optimize data I/O pipelines and training/inference scripts

Requirements:

Ph.D. or Master’s degree in computer science, engineering, mathematics, theoretical science, statistics, or related scientific field
Demonstrated track record of hands-on experience building and experimenting with geospatial AI solutions and geospatial data processing pipelines.
Experience applying agentic AI for geospatial purposes/use cases, including the design of autonomous or semi-autonomous workflows for spatial reasoning, analysis, and decision support.
Experience using self-supervised learning methods in computer vision, geospatial AI, or multimodal/spatiotemporal learning settings.
3+ years of experience with PyTorch (or TensorFlow or Keras)
3+ years of experience in AI related domains, especially Computer Vision applications
Hands-on coding skills in Python and software development skills
Hands-on experience with geospatial tools such as QGIS and Python libraries including GeoPandas and TorchGeo
Proven examples of implementing experimental pipelines and prototyping AI applications
A mathematical background covering some subset of linear algebra, probability, multivariate calculus, geometry, and/or numerical methods
Awareness of lifecycle and data management, and experience using Git to manage models, and source code
Experience with cloud stacks and architectures, such as Azure, AWS, etc. Comfort with some flavor of Unix shell environment (e.g., bash)
Publications in AI/scientific journals or conferences is a plus

DISCLAIMER:

Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.

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