We are a Spin-off from the Automatic Control Laboratory of ETH Zurich and are developing automation robots and software for professional event video productions. We target to reach Level 5 automation by 2023 which is analogous to developing software for self-driving cars in our industry. With our technology, multi-camera robot setups will collaborate to segment and understand unexplored scenes and then execute all operational tasks of traditional camera crews autonomously, leaving only creative storytelling to human operators. We estimate that we can reduce the average cost of a production by 40% through our technology, making professional video accessible to entirely new segments.

Seervision Zürich, Switzerland
Full time
We are getting our hands on huge amounts of data while producing video. Efficient ways to parse the data and build a database suitable for training detection and behavioral analytics algorithms will be a fundamental part of future development. Responsibilities: Develop mechanisms to automatically store metadata out of the live footage and the camera operation from every Seervision robot camera (labeling in machine learning). Format footage and metadata for use in (un)supervised machine learning tasks. Develop software bridges between footage metadata and commercial video processing software. Potential: Take full control of the machine learning tasks and focus solely on R&D in close collaboration with ETH. Control over team hiring decisions. ​Advantages: 2+ year in machine learning, preferably with neural networks. Experience with video processing software (e.g. Adobe Premiere).