Social network you want to login/join with:Client:Xovis AGLocation:Zollikofen, BernJob Reference:a619fd7800e6Job Views:9Posted:21.01.2025Expiry Date:07.03.2025Job Description:We are one of the international market leaders for intelligent people flow solutions and meet challenges at airports, in retail, transportation and building management. Our in-house, Swiss made hardware and software for precise people counting optimize people flow while respecting data privacy. We are committed to the success of our customers and create a sense of safety and comfort for people on the move. Our highly precise 3D stereo vision technology in combination with AI is the foundation for our success. While Xovis consists 130 crew members worldwide, we have kept our start-up spirit.As an experienced and passionate machine learning engineer, you will play a key role in the development of our vision-based algorithms as they run on our embedded cameras. You will be part of our interdisciplinary research and development team.Your area of responsibility includes:Building, training, and testing state of the art machine learning models for computer vision tasksOptimizing models for embedded devicesKeeping up with the latest developments in the field and evaluating the relevance for our applicationsCollaborating with your team mates to build a great product that generates value for our customersYour background:You have a strong background in computer vision, machine learning / deep learning, and programming, with a Master or PhD degree in a related subject (computer science, robotics, physics, mathematics, or similar)You have proven competence in ML engineering and problem solving, preferably in computer visionYou have a hands-on mentality and solving challenging problems is your passionYou are a self-motivated person and eager to help us expand our technology leadershipExperience in programming with C++ is a plusFluency in English is mandatory, German is optional but welcomeWhat we offer:A highly motivated and supportive team with pioneering spirit and open knowledge-sharing cultureThe possibility to develop yourself in an environment with flat hierarchiesFlexible working hours (40 per week), home office possibility, 25 vacation daysA familiar environment with regular formal and informal eventsWe look forward to receiving your application.Contact:Augustin BlazevicHuman Resources+41 32 508 35 59 #J-18808-Ljbffr