Computer Vision Engineer

We are seeking a talented Computer Vision and Software Engineer to join our team.

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 ideal candidate would

• have an advanced understanding of deep learning and computer      vision methods

• have developed and maintained      production software solutions

• have      3-year experience in a R&D position in the industry

• enjoy reading the latest academic papers in the field

• thrive in a client-driven research      environment that requires creative interdisciplinary solutions