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# Senior / Staff Computer Vision Engineer

- **Company:** Neural Grader
- **Location:** Cantabria, Spain
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Data Analysis, Computer Vision, Computer Programming, Data Visualization, Python (Programming Language), Machine Learning, Object Detection, Object-Oriented Software Development, Software Construction, Software Engineering, Software Systems, Generative AI, Data Analytics, Microservices
- **Published:** August 26, 2026
- **Apply:** https://www.buscojobs.com.es/senior-staff-computer-vision-engineer-en-ribamontan-al-mar-ID-368991153

## About the Role

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 Benefits training, knowledge

## Description

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 Benefits training, knowledge


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