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Description:

Generative AI Researcher

Top 3 key skills: Generative AI, Multi-Modal Generative AI Models, Agentic AI

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

• Expected to be a key technical researcher/developer on deep learning and Generative AI projects
• Develop technical proposals and research activities for applied (Generative and Agentic) AI research across Shell's businesses.
• Consult stakeholders in technical feasibility/data quality/models for their problems.
• Use innovative research to develop novel (Generative and Agentic) AI technologies from ideation to deployment.
• Drive solutions to commercial value and collect feedback from end-users.
• Design novel (Generative and Agentic) 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 (Generative) AI solutions

Requirements:

• Master's or Ph.D. degree in computer science, engineering, mathematics, theoretical science, statistics, or related scientific field
• 3+ years of experience with deep learning frameworks such as PyTorch or TensorFlow.
• 3+ years of theoretical and hands-on experience in deep learning and computer vision
• Theoretical and hands-on track record of experience working with the latest of Generative modeling for computer vision applications (VAEs, Diffusion Models, Flow Matching, etc.)
• Theoretical and hands-on track record of experience working with (Multi)Agentic AI tech stacks incorpoatings LLMs, VLMs, etc.
• Proven examples of implementing experimental pipelines and prototyping Generative AI applications using LLMs and VLMs
• A mathematical background covering some subset of linear algebra, probability, multivariate calculus, geometry, and/or numerical methods
• Affinity with lifecycle and data management, and experience using Git to manage models, and source code
• Excellent coding skills in Python, and software development.
• Experience with cloud stacks and architectures, such as Azure, AWS, etc. Comfort with some flavor of Unix shell environment (e.g., bash)
• Must have legal authorization to work in Netherlands on a full-time basis for anyone other than current employer
• Publications in flagship venues of AI or related scientific journals or conferences is a plus
• Experience as a technical lead in Generative AI and computer vision projects is a plus
  GenAI (Generative AI) - Knowledge, Python - Knowledge, Data Analysis - Knowledge