Internship Deep Learning Labeling - ADAS TSR

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Employer: Continental
Domain:
  • Education - Training
  • Job type: full-time
    Job level: 0 - 1 years of experience
    Location:
  • Timisoara
  • Updated at: 12.04.2021
    Remote work: On-site

    By joining our team, you will be part of the Labeling group for Deep Learning activities. Focus area covers Camera, Lidar and Radar technologies.

    Job Description:

    - You will be labeling the data that comes from the different sensors based on the requirements agreed with the development.

    - You will provide essential data to algorithms implemented using Deep Neural Network, and covering Object Detection, Lane detection, Semantic Segmentation, etc.

    - You will be working together with the algorithm development team to find the best possible solution for data annotation.

    - Highly flexible work.

    - Technical university not needed. A mentor will support you to stepwise take over own responsibility after an initial training phase which will familiarize you with our products, tools, processes and organization.

    What we offer:

    - Integration Program in a professional, young & dynamic team;

    - Competitive Salaries (based on performance) & Benefits;

    - Health & Wellness (Private Health and Dental Insurance, Sport activities etc.);

    - Professional Development Opportunities (in Technical and Managerial Area);

    - Stability;

    - International Work Environment & Traveling Opportunities;

    - Relocation Package for non-Timisoara Residents;

    - Flexibility Program including flexible hours, mobile work and sabbaticals.

    Job Requirements:

    - Quality oriented, responsible, determined;

    - English language;

    - Highly motivated and willing to get involved in technical projects;

    - Detail oriented mind;

    - 8 hour availability.

    Would be a plus:

    - Hungarian language;

    - German language;

    - Automotive knowledge;

    - Experience in activities related to data labeling, data marking, data annotation, test and validation.

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