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Machine Learning Research Engineer Intern

1 month ago

Cambridge, Cambridgeshire, United Kingdom SAMSUNG Full time

Job Summary

SAIC Cambridge is seeking exceptional interns to participate in a 6-month research program starting in July 2024. The successful candidates will collaborate with researchers and engineers in a world-class cross-disciplinary research center, focusing on publishing research in top conferences, filing patents, and contributing to commercial tech transfers.

Key Responsibilities

  • Conduct cutting-edge research to develop state-of-the-art solutions to existing problems and propose novel research challenges considering real-world case studies in AI.
  • Develop high-quality code with detailed documentation to support reproducible research in local and international research communities in AI.
  • Publication in top-tier conferences and journals, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, ACL, InterSpeech, etc.

Requirements

  • Currently studying for a PhD in Computer Science, Engineering, Mathematics, or a related discipline.
  • Efficiency in elementary topics in mathematics (calculus, probability, statistics, linear algebra, and optimization) and computer science (algorithms, data structures, parallel/distributed computing).
  • Experience in one or more general-purpose programming languages, including Python, Java, C, and C++.
  • At least one first-author publication in top conferences and journals such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, InterSpeech, EMNLP, ACL, MobiComm, etc.

Desirable Skills

  • Experience and demonstrated output on Foundation Models research involving LLMs and/or Diffusion models.
  • Experience in software engineering and development in a professional environment.
  • Experience with distributed GPU implementation of ML algorithms and on-device implementation of ML algorithms.
  • Experience in one or more of SAIC-Cambridge topics of interest, including Future Interaction Lab, Embedded AI Lab, and Machine Learning/Data Intelligence Lab.

Contract Type: 6-month internship

Job Location: Cambridge, UK

Hybrid Working: Standard working week will be 3 days onsite and 2 days working from home if preferred