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HUHuawei

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

Düsseldorf
Full-timeInternshipOn-site
AI/ML

Developing novel algorithms for privacy-preserving LLMs and solutions on public/industrial datasets at global ICT provider. Strong ML/DL knowledge, Python with PyTorch/TensorFlow/JAX, and LLM/NLP experience required. Access to industrial datasets for thesis work.

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 PyTorch, TensorFlow, or JAX
  • Experience with vision, NLP tasks, and large language models
  • Proactive mindset and willingness to take initiative
  • Fluency in written and spoken English
  • Knowledge of privacy and security aspects of LLMs (plus)
  • Experience with 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

Competitive Pay

  • Competitive compensation package

Learning & Development

  • Broad range of training opportunities
  • Intensive knowledge and experience exchange
  • Online and face-to-face training

Informal Culture

  • Innovative power and team spirit

Career Advancement

  • Global network

Purpose-Driven Work

  • Self-responsible work

Other Benefits

  • Competent, motivated, growing team
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