Applied Research Scientist - AI for Sustainable Materials Discovery - IBM Saudi Arabia
Detalhes do emprego
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk. Your Role and Responsibilities: We seek applications from innovative researchers with expertise in machine learning and artificial intelligence to join our Sustainable Materials team. You will tackle challenges at the forefront of AI, advancing generative and multi-modal models for high-impact applications in materials discovery and sustainability. As a member of our IBM Research team, you will explore novel research opportunities by addressing problems at the forefront of AI. Potential research topics include, but are not limited to:
- Developing advanced AI architectures and algorithms to train, fine-tune, and apply generative models for multi-modal tasks, directly influencing high-impact sectors.
- Enhancing foundation models for applications in materials discovery, and chemistry, with the goal of solving real sustainability challenges.
- Designing and testing single or multi-agent AI systems using cutting-edge benchmarks, or developing solutions tailored to business-critical use cases.
- Doctorate Degree in Computer Science (Artificial Intelligence), Computational Materials Science, Climate science, Physics, Mathematics, or closely related field.
- Experience in machine learning, building workflows and AI models in platforms such as Pytorch, TensorFlow, Ray, etc.
- Strong AI skills in transfer learning, model distillation, surrogate models, reinforcement learning, ideally with NLP applications.
- Research experience in designing and developing domain-specific or/and generalisable models.
- Demonstrated experience in developing, training, and testing deep neural networks.
- Strong research skills in natural language processing (NLP).
- Demonstrated experience in developing, training, and testing generative models, such as LLMs or multi-modal foundation models.
- Being able to communicate research ideas clearly and effectively by demonstrated publications and presentations at top-tier AI conferences such as NeurIPs, ICLR, ICML, ACL, EMNLP, CVPR, etc.
- Experience with machine learning and deep learning techniques for knowledge base and graphs construction in materials domain.
- Research experience in building and operationalizing AI-based surrogate models for (complex) materials/molecules.
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Job Title: Applied Research Scientist – AI for Sustainable Materials Discovery Job ID: 10626 City: Riyadh Country: Saudi Arabia Work arrangement: Onsite Area of work: Research Employment type: Fixed Term Position type: Professional Company: IBM Middle East and North Africa RHQ LLC Shift: General (daytime)#J-18808-LjbffrApply safely
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