Train and deploy cutting-edge computer vision models for real-time sports broadcasts.
Identify performance bottlenecks, and implement optimizations to ensure low-latency operation.
Prototype novel machine learning approaches and refine existing models.
Work closely with testing and operations teams to deliver a robust, user-friendly, and reliable end-to-end system.
MSc or PhD in Computer Science, Visual Computing, or a related technical discipline.
Strong foundation in image analysis, computer vision, and machine learning techniques (e.g., feature extraction, object detection & tracking, image/video segmentation).
Proficiency in modern C++ with hands-on development experience.
Proven track record of implementing machine learning algorithms in real-world applications, with a focus on performance and efficiency.
Practical experience with deep learning frameworks and methodologies.
Strong analytical thinking, problem-solving abilities, and clear communication skills.
Bonus points if you also have:
Proficiency in modern C++ standards (C++11/14/17/20).
Experience with GPU computing, particularly using CUDA.
Solid understanding of computer graphics principles and techniques.
Familiarity with modern software development practices such as agile workflows, automated testing, and continuous integration.
A genuine passion for sports and enthusiasm for working at the intersection of technology and live entertainment.
A dynamic and fast-growing environment with many possibilities for further development.
A highly motivated, interdisciplinary, multi-cultural team with focus and vision.
Several (larger and smaller) team events per year.
A competitive salary and participation in uniqFEED's Phantom Stock Option Plan.
Financial support for training and further education.
Five weeks of vacation per year.
Flexible working hours, flexible home office, workation, and an appealing work environment in our HQ in Glattbrugg/ ZH.
Here at uniqFEED, we develop virtual advertising solutions for live sports using software only – a novel approach, but one that we believe is the future.
Train and deploy cutting-edge computer vision models for real-time sports broadcasts.
Identify performance bottlenecks, and implement optimizations to ensure low-latency operation.
Prototype novel machine learning approaches and refine existing models.
Work closely with testing and operations teams to deliver a robust, user-friendly, and reliable end-to-end system.
MSc or PhD in Computer Science, Visual Computing, or a related technical discipline.
Strong foundation in image analysis, computer vision, and machine learning techniques (e.g., feature extraction, object detection & tracking, image/video segmentation).
Proficiency in modern C++ with hands-on development experience.
Proven track record of implementing machine learning algorithms in real-world applications, with a focus on performance and efficiency.
Practical experience with deep learning frameworks and methodologies.
Strong analytical thinking, problem-solving abilities, and clear communication skills.
Bonus points if you also have:
Proficiency in modern C++ standards (C++11/14/17/20).
Experience with GPU computing, particularly using CUDA.
Solid understanding of computer graphics principles and techniques.
Familiarity with modern software development practices such as agile workflows, automated testing, and continuous integration.
A genuine passion for sports and enthusiasm for working at the intersection of technology and live entertainment.
A dynamic and fast-growing environment with many possibilities for further development.
A highly motivated, interdisciplinary, multi-cultural team with focus and vision.
Several (larger and smaller) team events per year.
A competitive salary and participation in uniqFEED's Phantom Stock Option Plan.
Financial support for training and further education.
Five weeks of vacation per year.
Flexible working hours, flexible home office, workation, and an appealing work environment in our HQ in Glattbrugg/ ZH.
Hier bei uniqFEED entwickeln wir virtuelle Werbelösungen für Live-Sportarten, die ausschließlich auf Software basieren - ein neuartiger Ansatz, von dem wir aber glauben, dass er die Zukunft ist.
We look forward to hearing from you!
Thank you for your interest in uniqFEED. Please fill out the following short form. If you have any difficulties uploading your data, please contact us by email at jobs@uniqFEED.com.