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APAptiv

AI/ML Engineer(m/w/x)

Wuppertal
Full-timeOn-siteExperienced
AI/ML
Data Science

Developing AI algorithms for human-like traffic scene understanding and trajectory prediction. Deep neural network experience for perception, segmentation, fusion, and learning required. International environment with flexible work and recognition for innovation.

Requirements

  • Master or Ph.D. in computer science, machine learning or related field
  • Excellent analytical skills and good mathematical background
  • Professional experience in at least one of the following
  • Deep neural networks for perception, segmentation, fusion, prediction, planning
  • Active, reinforcement, imitation learning
  • Time series prediction with modern ML techniques
  • Model, rule, and learning based decision making
  • ML techniques CNN, RNN, Transformers
  • Systematic, goal and outcome-oriented working style
  • Good knowledge in:
  • Professional experience in AI development frameworks PyTorch
  • Professional skills in Python, C++
  • English skill both in oral and written
  • Experience handling datasets and data science methods
  • Understanding of edge processing / Embedded AI and RUST is a plus
  • Experience developing software in a team with Git, CI, agile process
  • Experience with automotive products in ADAS/AD, perception
  • Proven track record of publications in relevant conferences and scientific background

Tasks

  • Develop new sensors for mobility
  • Develop new algorithms for mobility
  • Develop new platforms for mobility
  • Achieve human-like traffic scene understanding
  • Achieve trajectory prediction
  • Achieve planning for traffic scenarios

Work Experience

  • approx. 1 - 4 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • PyTorch
  • Python
  • C++
  • Git
  • CNN
  • RNN
  • Transformers

Benefits

Flexible Working

  • Flexible work environment

Learning & Development

  • Professional growth and development
  • Training, coaching, and certifications

Informal Culture

  • International environment

Other Benefits

  • Recognition for innovation and excellence

Social Impact

  • Community involvement opportunities
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