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Job Description
AI Research Engineer
The purpose of the role is to develop state-of-the-art solutions for large real-world large-scale problems by conducting cutting-edge research relating to Multimodal Artificial Intelligence.
Responsibilities
- Conduct cutting-edge research to develop state-of-the-art solutions for existing problems
- Propose novel research considering real-world case studies in Multimodal AI
- Develop high quality code with detailed documentation to support reproducible research in local and international research communities in Multimodal AI
- Publication in top-tier conferences and journals, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, ACL, STOC, IEEE TPAMI, IEEE TNNLS, IEEE TSP, IEEE TIP, Information Fusion, JAIR, IJRR, IJCV, and JMLR
Requirements
- PhD in Computer Science, Engineering, Mathematics or a related discipline (or just completing)
- Programming with Python, Java, C or C++
- At least one first-author publication in one of the following conferences and journals: NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, EMNLP, ACL, IEEE TPAMI, IEEE TNNLS, IJCV, and JML
- Experience with Multimodal Foundation Models such as Visual Language Models, Large Language Models, Vision Transformers, or Diffusion Models.
Benefits
- Hybrid Working: 3 days onsite and 2 days working from home
- Generous package - competitive Salary, bonus, pension etc.
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