Innovate : Develop accurate and efficient 3D modeling techniques using stereo vision, structured light, and ML
Our team members have diverse research and technical backgrounds in various complementary fields. These companies play a key role in the transition to a carbon-neutral world, and we help them bring innovation, technology, and automation to drive efficiency and reduce waste.
have experience in Classical Computer Vision and Machine Learning
draw data-driven conclusions using statistical inference
have programming experience in Python and Java
have hands‑on experience with Tensorflow or PyTorch
have a PhD in a STEM field or 3-year experience in a research position in the industry
have implemented computer vision algorithms in an industrial setting (wood industry would be perfect)
training, knowledge transfer sessions, and courses
casual & friendly working environment with opportunities to impact the company with your ideas and involvement
flexible working hours
fresh fruits & snacks in the office
extra perks (Between 21 and 25 vacation days, days off for special or unexpected events)
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Hardware Engineer • Madrid, Comunidad de Madrid, España