Junior Computer Vision Engineer (f/m/x)
- Full-time
Job Description
We are looking for a Junior Computer Vision Engineer to join our MARS department, who is responsible for developing autonomous robotics projects, computer vision, and artificial intelligence to facilitate the car inspection process. AUTO1 Group is Europe's leading digital automotive platform. We revolutionize the used car market with our well-known brands Autohero, wirkaufendeinauto.de, and AUTO1.com
Our offer
- Colleagues who strive for excellence while using the latest technologies. See what we do in our Tech Blog: https://auto1.tech
- Educational budget for your personal growth
- Your work-life balance and working from home are part of our culture, so we offer you working-from-home options
- More than 90 different nationalities make up a truly international and diverse working environment
Your new role
- Helping with maintaining existing computer vision pipelines in our team (collecting new data, supervising annotation processes, models retraining and tuning)
- Testing new architectures and approaches in order to improve the performance of our models
- Suggesting new ideas of how to approach our computer vision tasks
- Share your views and experiences in our diverse culture, which makes every one of us better every day.
Required Skills
- You have a good understanding of deep learning fundamentals in computer vision applications (image classification, image segmentation, object detection)
- You have good expertise in Python
- You are familiar with computer vision and deep learning frameworks such as OpenCV, PyTorch, Tensorflow, or Keras
- You have proficiency with Linux operating systems
- Being familiar with computer vision hardware (cameras, optics, lighting) is a big plus
- You also get bonus points for having experience with 3D computer vision (points clouds, depth estimation, multi-view 3D reconstruction)
Contact: Igor Popov
At AUTO1 Group we live an open culture, believe in direct communication, and value diversity. We welcome every applicant; regardless of gender, ethnic origin, religion, age, sexual identity, disability, or any other non-merit factor.