Machine Learning Engineer for Vision-Based Systems
Vor 4 Tagen
We are Xovis AG, a leading provider of intelligent people flow solutions. Our innovative technology combines 3D stereo vision and AI to optimize people counting and create a safe environment for those on the move.
About the RoleAs an experienced Machine Learning Engineer, you will play a key role in developing our vision-based algorithms that run on embedded cameras. Your primary responsibilities will include building, training, and testing state-of-the-art machine learning models for computer vision tasks, optimizing these models for embedded devices, and collaborating with your team to build a great product that generates value for our customers.
Your BackgroundTo succeed in this role, you should have a strong background in computer vision, machine learning/deep learning, and programming, with a Master's or PhD degree in a related subject (computer science, robotics, physics, mathematics, or similar). You should also have proven competence in ML engineering and problem-solving, preferably in computer vision, as well as experience in programming with C++ (a plus). Fluency in English is mandatory, and German is optional but welcome.
What We OfferAt Xovis AG, we offer a highly motivated and supportive team with a pioneering spirit and open knowledge-sharing culture. You will have the possibility to develop yourself in an environment with flat hierarchies, flexible working hours (40 per week), home office possibility, and 25 vacation days. We look forward to receiving your application.
Estimated Salary Range:$120,000 - $150,000 per year, depending on qualifications and experience.
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