Intern (f/m/d) For Edge Ai Model Zoo Optimization Research & Engineering

NXP Semiconductors

Munich, Germany
Base: € 2,420.00; bonus/equity: not specified; ben...
Hybrid
Edge ai model optimization
Cnns and language models
Pytorch and/or tensorflow
Explore and research state-of-the-art model compression methods for CNNs and Language Models across different frameworks, and benchmark their performance, modularity, and integration potential with NXP’s embedded systems

Job Summary

  • Explore and research state-of-the-art model compression methods for CNNs and Language Models across different frameworks, and benchmark their performance, modularity, and integration potential with NXP’s embedded systems.
  • Integrate a growing set of Discriminative and Generative Models into our internal Model Zoo and automate model benchmarking across accuracy, latency, memory footprint, and hardware utilization.
  • NXP offers a monthly salary of € 2,420.00, flexible working hours, the possibility to work in a hybrid setup, and 2.5 days of vacation per month.

Matching Summary

Explore and research state-of-the-art model compression methods for CNNs and Language Models across different frameworks, and benchmark their performance, modularity, and integration potential with NXP’s embedded systems.

Salary

Base: € 2,420.00; Bonus/Equity: Not specified; Benefits: Flexible working hours, hybrid setup, vacation, on-site cafeteria, networking initiatives

Skills & Requirements

Must-have

  • Edge AI model optimization
  • CNNs and Language Models
  • PyTorch and/or TensorFlow
  • Python and software development
  • model compression techniques
  • Linux & Git

Nice-to-have

  • exploring new technologies
  • contributing to impactful AI research
  • hybrid setup
  • networking initiatives

Key Requirements

  • Master’s degree in Computer Science, AI, ML
  • Strong analytical and problem-solving skills
  • Excellent English communication skills
  • Reliable way of working for security tasks

Work Rights

Not specified

Tailored Resume

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