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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

11Open Positions

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Working Student Machine Learning Environment Perception for Autonomous Driving (f/m/x)

BMW Group
Found 1 month ago
Location
Unterschleißheim, Germany
Duration (Months)
12 Months
Time
Part-time
Work Mode
Hybrid
Salary
Attractive & fair compensation
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • Machine learning
  • deep neural networks
  • sensor technologies
  • computer science
  • AWS
  • computer vision
  • machine learning

Soft Skills

  • dynamic teams
  • outstanding technical skills
  • bring your own ideas to the table

Job Description

Our team at the autonomous driving campus of BMW in Unterschleißheim (Munich) continuously develops cutting-edge functions for self-driving vehicles. The perception stack is a critical component in the complex pipeline from sensor to automatic vehicle response, and we are shaping the future of perception technologies. What awaits you? * You will support the development and optimization of the data toolchain for training and validation of perception functions for autonomous driving. * Furthermore, you help with fast-prototyping of state-of-the-art perception methods applied to autonomous driving and development of back-end tools. * In addition, you contribute to learning and discovering the newest contributions in computer vision and machine learning. * Moreover, you will assist in developing own deep learning techniques applied to our large perception datasets. * Additionally, you help with testing and validation of methodologies before release in the BMW vehicle integration toolchain.

Requirements

  • Studies in engineering, computer science, physics, robotics or a related field.
  • First practical experience in software development with Python or comparable programming languages.
  • Understanding of machine learning methodologies, especially deep neural networks.
  • Basic understanding of sensor technologies for supervised learning approaches.
  • Strong background in computer science.
  • Business fluent German or English skills.

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • German
  • English

Nice to Haves

  • AWS knowledge
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