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
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
- working in an international/multicultural team
- support for exams and certifications for professional growth
- smart people all around, and real technical challenges
- extra perks (Between 21 and 25 vacation days, days off for special or unexpected events)
Ready to Apply?
We're excited to hear from you! Send us your application and let's start the conversation about your future with us.