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HUHuawei Research Center Germany & Austria

Intern/Master Thesis - Privacy and Security for Large Language Models(m/w/x)

Düsseldorf
Full-timeInternshipOn-site
AI/ML

Developing novel algorithms for privacy-preserving LLMs, implementing solutions on public and industrial datasets. Experience with vision, NLP tasks, and large language models essential. Master Thesis focus, work with public and industrial datasets.

Requirements

  • Enrollment in Computer Science, Mathematics, Engineering, Physics, or related field
  • Knowledge and experience in machine learning and deep learning
  • Programming skills in Python and one deep learning framework
  • Experience with vision, NLP tasks, and large language models
  • Proactive mindset and willingness to take initiative
  • Fluent written and spoken English
  • Knowledge of privacy and security aspects of LLMs (plus)
  • Experience setting up and evaluating AI agents (plus)

Tasks

  • Review prior research on relevant topics
  • Develop novel algorithms for privacy-preserving LLMs
  • Create LLM-based solutions for privacy and security issues
  • Implement methods on public and industrial datasets
  • Empirically evaluate developed methods
  • Document findings and results with rigor

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • PyTorch
  • TensorFlow
  • JAX
  • Large Language Models
  • AI agents

Benefits

Learning & Development

  • Global knowledge exchange network
  • Broad training opportunities
  • Online and face-to-face training

Purpose-Driven Work

  • Self-responsible work

Informal Culture

  • Competent and motivated team

Competitive Pay

  • Competitive compensation package
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