Overview
As a Computer Vision Engineer, you will take on the following responsibilities and challenges:
Responsibilities
- 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.
Candidate Profile
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
Idóneo 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
- versátil 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)
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