We are seeking a Senior/Staff Computer Vision Engineer to join our team.
As a Senior/Staff 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 — and own them end to end, from research to production.
Robust ML: Drive research into SOTA solutions such as World Models, Generative Models, or other approaches to enhance robustness to OOD data, and set the technical direction in this area.
Algorithms: Research, implement, and optimize computer vision and numerical algorithms to build new system components or enhance existing ones.
Software Development: Architect and build a broad range of computer vision software systems, from production-ready microservices to rapid prototypes that integrate multiple components, setting the engineering standard for the team.
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.
Technical Leadership: Mentor engineers, review research solutions and code,



and influence the technical roadmap of our products.
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. As a senior member of the team, you will have a key position in designing and building innovative products and in shaping how we build them.
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 5+ years of experience in industry in Classical Computer Vision and Machine Learning, with a track record of shipping CV systems to production
have experience in industrial research and translating research results into products
have significant experience building and architecting software systems
have experience with vibe coding
have experience leading projects and mentoring other engineers
draw data-driven conclusions using statistical inference
have strong programming experience in Python and Java
be self-driven and able to independently carry complex, ambiguous projects to completion
be pragmatic and goal-oriented
training, knowledge

📌 Senior / Staff Computer Vision Engineer (Madrid)
🏢 Neural Grader
📍 Madrid