Junior Computer Vision Engineer (f/m/x)

Job Description

We are seeking a Junior Computer Vision Engineer to join our MARS department, responsible for developing autonomous robotics projects, computer vision, and artificial intelligence aimed to facilitate the car inspection process. AUTO1 Group is Europe's premier digital automotive platform. We are revolutionizing the used car market with our renowned brands Autohero, wirkaufendeinauto.de, and AUTO1.com

What we offer

• Colleagues committed to excellence, employing cutting-edge technologies. Take a peek at what we do in our Tech Blog:
• Educational budget for your personal development
• Work-life balance and remote work are ingrained in our culture, thus we offer flexible work-from-home options
• Over 90 distinct nationalities comprise a truly international and diverse work environment

Your new role

• Assist in maintaining existing computer vision pipelines in our team (collecting new data, overseeing annotation processes, model retraining, and tuning)
• Test novel architectures and strategies in an effort to enhance the performance of our models
• Propose innovative approaches to our computer vision tasks
• Contribute your perspectives and experiences within our diverse culture, enhancing our collective learning every day.

Skills needed

• You have a solid understanding of deep learning principles in computer vision applications (image classification, image segmentation, object detection)
• You possess a firm expertise in Python
• You are well-versed with computer vision and deep learning frameworks such as OpenCV, , Tensorflow, or Keras
• You are proficient with Linux operating systems
• Familiarity with computer vision hardware (cameras, optics, lighting) would be a distinct advantage 
• Having experience with 3D computer vision (points clouds, depth estimation, multi-view 3D reconstruction) will earn you bonus points

Contact: Igor Popov

At AUTO1 Group, we embrace an open culture, value direct communication, and prioritize diversity. We welcome every applicant, irrespective of their gender, ethnic origin, religion, age, sexual identity, disability, or any other non-merit factor.