Job Description
About Us
To further strengthen our position among the leading companies in the automotive industry, MOBIS Parts Europe N.V. is expanding its R&D Center at its European headquarter in Frankfurt to meet local customer requirements even better. To take care of diversified and challenging tasks with an attractive career perspective, we are looking for new colleagues.
Your profile
Bachler or Master's Degree in computer science, mathematics, electrical engineering, or another related field. Experience in graph-based optimization algorithms, e.g., mixed integer programming models. Experience in image processing and its tools, e.g., OpenCV. Experience in deep learning framework, e.g., Pytorch. Experience in Python, JavaScript, and MongoDB.Strong communication skills and high flexibility.Good English Language skills.
Your tasks
Development of semi-automated instance segmentation annotation algorithms within the active learning framework, port SOTA semi-automated semantic segmentation algorithms into Oracle:
Semi-automated instance segmentation algorithms development, especially graph-based methodsDeep neural network framework, i.e., data loading and network training.Efficient scripting of automated data processing and evaluation.Implement the current semi-automated semantic segmentation algorithms into Oracle.Conduct performance measurements of the algorithm design.
What we offer you
You will become an important member of an international company that is strongly focusing on the development of the latest automotive technologies. Take on an exciting position that will directly impact the company’s direction in the automotive industry. Long-term career perspective and promising growth opportunities.Flexible work time model that ensures an attractive work-life balance.Modern office space with table tennis room and fully equipped meeting rooms.Cafeteria area stocked daily with lunch snacks, and fresh fruits; in addition, meal vouchers are given monthly.Great public transportation options and secured underground parking for bikes and cars.Many corporate benefits, including discounts on a nearby gym membership.Regular company events, team dinners, and yearly sports competitions.License for LinkedIn Learning, etc.