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Computer Vision Engineer

  • 60.000,00 Euro €
  • Veröffentlichungsdatum: 12/04/2021
  • Datum der Änderung: 12/04/2021
    • Innere Stadt, Wien, Wien, Österreich

Develop and apply state-of-the-art Machine Learning / Computer Vision algorithms and contribute to the core components of a platform for large scale processing of multi-modal street-level imagery

Job description
• Design, build, train and test Computer Vision components and integrate these components into a production-ready platform
• Establish a Computer Vision platform for object detection, classification and georeferencing in multi-modal sensor data (images, videos, LIDAR), supported by an exceptional team of Research Scientists, Data Engineers and Machine Learning engineers
• Create scalable workflows for training, execution and testing of machine learning algorithms
• Make the established computer vision components available to cooperation partners, enabling 3rd party developers to apply the methodology on their own
• Identify state-of-the-art computer vision literature and assess its practical relevance for our customers and projects
• Also work on smaller projects in different team settings and different machine learning problems over time to facilitate knowledge transfer

Who we are looking for
• Excellent Python programming skills, knowledge of PyTorch and a wide range of machine learning methods
• Solid experience in the field of computer vision, segmentation, detection and classification architectures (e.g. U-Net, RCNN, Yolo, Point-Nets)
• Python-based image processing libraries (e.g. OpenCV, scikit-image, PIL, torchvision)
• Basic data engineering skills
• Passionate about all things AI, machine learning and data science
• Self-driven problem solver who enjoys coding as much as tinkering
• Degree in computer science (BSc, MSc or PhD) or in a similar field
• Valid work permit for Austria

What we offer
• Enthusiastic, research-driven team with rich expertise in machine learning, computer vision, generative adversarial networks, reinforcement learning as well as distributed training, data engineering, ML ops and cloud architecture
• Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)
• Perks, e.g. time allotment for the free pursuit of individual R&D projects, training or conference participations, hosting of meetups
• People first company culture, where we nurture your talents
• Great office location in Vienna's 1st district
• Continuous trainings and education

Job Types: Full-time, Part-time (30h)
Salary: 55.000€ to 65.000€ per year based on full-time

Please apply via

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