Continental Corporation Machine Learning Expert in Budapest, Hungary

About Continental With sales of €39.2 billion in 2015, Continental is among the leading automotive suppliers worldwide and currently employs more than 215,000 employees in 55 countries. The Automotive Group with its three divisions Chassis & Safety (sales of approx. €8.4 billion in 2015, roughly 40.000 employees), Powertrain (sales of approx. €7.1 billion in 2015, roughly 35,400 employees) and Interior (sales of approx. €8.2 billion in 2015, roughly 40,500 employees) achieved sales of approximately €23.7 billion in 2015. The Automotive Group is present in more than 170 locations worldwide. As a partner to the automotive and commercial vehicle industry, it develops and produces innovative products and systems for a modern automotive future in which cars provide individual mobility and driving pleasure consistent with driving safety, environmental responsibility, and cost-efficiency.

Auto req ID 73731BR

Job Title Machine Learning Expert

Country Hungary

Posting Location Budapest

Job Description

  • development and application of deep learning methods for Continental ADAS sensors (e.g. cameras, radars, laser scanners, fusion of multiple sensors) and functions

  • data management for Machine Learning

  • verification and validation of the methods based on internal and/or external datasets

  • documentation of concepts and implementations

Job Requirements

  • university degree (technical profile: Computer Science, Electronics, Electrical Engineering, Neuroscience or related area)

  • 2-3 years of relevant job experience

  • deep knowledge and experience in machine learning, deep learning

  • good command of English

  • collaborative, open-minded, team player attitude

In addition:

  • experience in optimizing convolutional neural networks

  • functional development in automotive industry

  • experience with „Big Data”

  • good programming skills in Python, C+ What we offer

  • personal career development in a challenging role

  • participation in international projects

  • competitive salary and benefits package

  • flexible working hours

  • cutting edge technologies

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