As a Computer Vision Engineer, you will take on the following responsibilities and challenges: Machine Learning: Design and develop reliable, scalable, and efficient machine learning models for object detection, segmentation, and classification tasks. Algorithms: Research, implement, and optimize computer vision and numerical algorithms to build new system components or enhance existing ones. Software Development: Build a broad range of computer vision software systems, from production-ready microservices to rapid prototypes that integrate multiple components. Data Analysis: Apply statistical methods and use visualization tools to develop dashboards that monitor and evaluate both component performance and production systems. Innovative Development ("Vibe Coding"): Leverage creative, interdisciplinary approaches to develop innovative solutions that remain robust, maintainable, and aligned with software engineering best practices. We work in small teams with a startup mentality. We are a horizontal organization where originality and self-drive are valuable assets that we encourage.
Our team members have diverse research and technical backgrounds in various complementary fields. You will have a key position in designing and building innovative products. Our clients are the largest lumber sawmills worldwide. 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. A typical candidate would have experience in Classical Computer Vision and Machine Learning have experience building software have experience with vibe coding draw data-driven conclusions using statistical inference have programming experience in Python and Java be self-driven and able to independently carry a task to completion be pragmatic and goal-oriented The adecuado candidate would have an advanced understanding of deep learning and computer vision methods have developed and maintained pro