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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

8Open Positions

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Working student in the field of ML environment perception team for Autonomous Driving

BMW Group
Found 1 month ago
Location
München, Germany
Duration (Months)
3 Months
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • machine learning
  • deep neural networks
  • Computer Science
  • sensor technologies
  • computer vision

Soft Skills

  • Teamwork
  • communications skills

Job Description

At the autonomous driving campus of BMW in Unterschleißheim (Munich), we are continuously developing cutting-edge functions for our self-driving cars.Among all the pieces that form an extensive and complex pipeline, from the sensor to the automatic response of the vehicle, the perception stack becomes a critical aspect. This is why we are looking for highly talented and motivated candidate that wants to make an impact the future generations of perception technologies. What can you expect? * Contribute to the development and optimization of the data toolchain for training and validation perception functions for autonomous driving. * This implies an active role in several tasks such as fast-prototyping of state-of-the-art perception methods applied to autonomous driving and development of back-end tools. * BMW will offer to the student resources to learn and discover the newest contributions in the field of computer vision and machine learning, developing own deep learning techniques applied to our large perception datasets, combining it with the exciting process of the development of self-driving cars. * Test and validation of methodologies about to be released in the BMW vehicle integration toolchain.

Requirements

  • Studies of engineering or a comparable course of studies, e.g. computer science, physics or robotics.
  • First practical experience in software development with Python or comparable programming languages.
  • Understanding of machine learning methodologies, especially deep neural networks.
  • Basic understanding in sensor technologies for supervised learning approaches.
  • Strong background in Computer Science.
  • German or English business fluent.
  • Teamwork and communications skills.

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English
  • German

Nice to Haves

  • AWS knowledge
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