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HUHuawei

Senior Engineer - Reliable Generative AI for Intelligent Agent Safety(m/w/x)

München
Full-timeOn-siteSenior
AI/ML
Data Science

Researching safety formalization and reliability benchmarks for agentic systems at ICT provider serving 3 billion users. PhD in Computer Science or Mathematics with AI safety publication record required. Healthy canteen meals, global knowledge exchange sessions.

Requirements

  • PhD or Master degree in Computer Science, E/E, Mathematics or relevant engineering majors
  • Industrial experiences in AI relevant domains (plus)
  • Solid background in mathematics, linear algebra, and statistics
  • In-depth knowledge of machine learning theoretical foundations
  • Research experiences in AI safety approaches
  • Record of publications in renowned conferences or journals
  • Hands-on experiences with open-sourced agentic platforms
  • Hands-on experiences in latest ML methods (plus)
  • Experience with foundation models for agentic applications
  • Excellent programming skills and ML framework experience
  • Strong programming skill in Python, C/C++, Rust, or Julia
  • Proficiency in assisted development with automated code generation (wished)
  • Experience and knowledge of system safety design (plus)

Tasks

  • Investigate state-of-the-art reliability research for generative AI
  • Analyze safety and reliability in agentic systems
  • Identify and formalize technical challenges and deficiencies
  • Conduct independent research on high-priority technical topics
  • Publish findings in top-tier conferences and journals
  • Lead and contribute to internal and external projects
  • Collaborate with domain experts and academic researchers
  • Deliver impactful research results to the organization
  • Manage partnerships with universities and research institutions

Work Experience

approx. 4 - 6 years

Education

Master's degree

Languages

EnglishBusiness Fluent

Tools & Technologies

PythonC/C++RustJuliaTransformerViTML frameworks

Benefits

Purpose-Driven Work

  • Self-responsible work

Informal Culture

  • Competent and motivated team
  • Diverse and welcoming environment

Learning & Development

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

Free or Subsidized Food

  • Healthy canteen meals
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