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HUHuawei

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

Düsseldorf
Full-timeInternshipOn-site
AI/ML

Developing novel algorithms for privacy-preserving LLMs, creating security solutions, implementing on public/industrial datasets. Knowledge of machine and deep learning required, with experience in vision or NLP tasks preferred. Global knowledge exchange, self-responsible work at a global ICT solutions provider.

Requirements

  • Enrollment in Computer Science or related field
  • Knowledge of machine and deep learning
  • Experience with vision or NLP tasks
  • Proactive and self-motivated mindset
  • Fluent written and spoken English
  • Knowledge of LLM privacy and security
  • Experience setting up and evaluating AI agents

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

Competitive Pay

  • Competitive compensation package

Informal Culture

  • Innovative culture and team spirit
  • Competent and motivated team

Learning & Development

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

Purpose-Driven Work

  • Self-responsible work
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