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Job offer AI Research Engineer

s Area

Job offer AI Research Engineer

£95000

s Area, Kingston upon Thames

  • Full time
  • Temporary
  • Remote working

Posted 3 weeks ago, 28 Aug | Get your application in now before you miss out!

Closing date: Closing date not specified

job Ref: bb65c422d054421d80aee0e99e74d5d3

Full Job Description

  • Conduct pioneering research to develop advanced solutions and propose innovative research challenges in Multimodal AI

  • Develop high-quality, well-documented code to support reproducible research within local and international AI research communities

  • Publish research findings 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

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    IC Resources is looking for a passionate AI Research Engineer with a recently completed PhD (under 2 years) or near-completion. The ideal AI Research Engineer will have strong expertise in Multimodal Foundation Models, focusing on areas such as Visual Language Models, Large Language Models, Vision Transformers, and Diffusion Models.,
  • Current PhD student or recent graduate in Computer Science, Engineering, Mathematics, or a related field

  • Proficiency in fundamental topics of mathematics (calculus, probability, statistics, linear algebra, optimisation) and computer science (algorithms, data structures, parallel/distributed computing)

  • Experience with general-purpose programming languages such as Python, Java, C, and C++.

  • At least one first-author publication in top-tier conferences or journals including NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, EMNLP, ACL, IEEE TPAMI, IEEE TNNLS, IJCV, or JMLR.

  • Proven research output in Multimodal Foundation Models, specifically in Visual Language Models, Large Language Models, Vision Transformers, or Diffusion Models.

    • Desired Experience:
  • Familiarity with software libraries and frameworks like PyTorch, TensorFlow, SciKits, Kaldi, OpenCV, and CUDA.

  • Background in software engineering and development.

  • Relevant experience through internships or research positions in academic or industrial R&D labs.

  • Capability to design and implement a comprehensive research agenda.