IT i tehnologija

Vision Developer – American Football

Unleash your potential at TrackMan

Hørsholm, DanmarkPuno radno vrijeme
Do you want to build intelligent software that powers the future of sports coaching? Are you passionate about transforming raw data and AI model predictions into meaningful, real-world metrics for professional American football players? Then come and join our ambitious and collaborative product team! Data is revolutionizing sports. Join our team to play. This is a great opportunity to join our growing New Sports team within our Tracking Department. Our team is responsible for the development of the firmware for our American football products. We are developing cutting-edge solutions that leverage deep learning, classic computer vision, machine learning, and signal processing algorithms to deliver product features. Through our market leading radar and computer vision-based tracking technology, we are building products used by some of the best athletes in the world. Example projects we are working on: • Detecting and tracking objects, such as balls, players, and clubs, across several different sports • Optical flow for determining ball flight characteristics • Calibration between radar and camera data for drawing tracks in broadcast television • Human pose tracking for analyzing athlete performance Are you our new colleague? Our ideal candidate is specialized the area of computer vision and machine learning. You will be joining a team of specialists within these fields and together we strive to remain the best in the world at what we do. Your responsibilities will include development of new and existing products and core processes based on your experience and skills. In the new sports team we value teamwork and openness. Therefore, we expect you to enjoy working with other highly motivated colleagues and help provide a good working environment. We do not expect that you can be an expert on every aspect of being a developer, but rather strive to improve and learn together with the team. Responsibilities: • Develop advanced DL, ML, classic computer vision, algorithms. • Write production ready code, with emphasis on deployment, monitoring and supportability • Design and execute experiments to acquire and prepare datasets for algorithm development • Develop and extend tooling for computer vision development. This can include data visualization, annotation and debugging • Develop appropriate system architecture for edge-based and server solutions • Collaborate with engineers within Vision & AI and the tracking department to produce high quality cutting edge systems Requirements• Master’s Degree or Ph.D. in computer vision, machine learning, computer science, mathematical modelling, or equivalent • 3+ years of practical experience in implementing and deploying computer vision systems, with a proven track record of successful project execution and system optimization • Strong software development and programming skills within Python and C++ • Experienced in computer vision techniques, including object detection, video tracking, and image analysis, as well as deep learning and convolutional neural networks in machine learning • You have an entrepreneurial mindset and thrive on taking an idea from concept to a polished implementation. Nice to haves: • Experience with or knowledge of image acquisition, camera calibration • Preferably experience with or knowledge of video formats and camera hardware, drivers and low-level software Working in a fast-paced, team-based environment also demands a certain degree of self-planning, as well as the ability to work independently. Your colleagues are highly skilled, innovative and pro-active in their work approach. They possess strong analytical skills, are good communicators in English, and take pride in their job and deliverables. We expect you to be of a similar caliber. We offer: • Highly skilled colleagues • World class office facilities • International environment with more than 35 nationalities in our HQ • Social activities Join the home of a powerful sports brand and a one-of-a-kind technolog
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