Computer Vision Engineer

We are seeking a talented Computer Vision Researcher to join our team. As a Computer Vision Expert, you will have the following responsibilities and challenges: * Research: Study and apply classical computer vision and optimization algorithms to improve system components * Develop: Create reliable and efficient Machine Learning models for object detection, segmentation, and classification * Design: Devise intelligent methods for building relevant and qualitative datasets * Solve: Apply state-of-the-art methods to address unique challenges in the wood industry * Scale: Enhance the scalability of ML solutions * Innovate: Develop accurate and efficient 3D modeling techniques using stereo vision, structured light, and ML 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 working with large datasets * draw data-driven conclusions using statistical inference * have programming experience in Python and Java * have hands-on experience with Tensorflow or PyTorch * be self-driven and able to independently carry a task to completion * be pragmatic and goal-oriented The ideal candidate would * have a PhD in a STEM field or 3-year experience in a research position in the industry * have an advanced understanding of deep learning techniques applied to computer vision problems * enjoy reading the latest academic papers in the field * have

implemented computer vision algorithms in an industrial setting (wood industry would be perfect) * thrive in a client-driven research environment that requires perseverance and creative solutions Benefits * training, knowledge transfer sessions, and courses * regular activities with the team, team building * casual & friendly working environment with opportunities to impact the company with your ideas and involvement * flexible working hours * bonuses and attractive salary package * private medical assurance * Bookster membership * fresh fruits & snacks in the office * gym membership discount (World Class Fitness) * working in an international/multicultural team * support for exams and certifications for professional growth * smart people all around, and real technical challenges * proximity to the metro station (Victoriei - 2 min walk) * extra perks (Between 21 and 25 vacation days, days off for special or unexpected events) Interested in applying? Send your CV together with a few introductory words about yourself!