Senior / Staff Computer Vision Engineer

Neural Grader; España; Presencial; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Bonuses and attractive salary

International/multicultural team

Support for exams and certifications

23–25 vacation days

Descripción de la vacante

Neural Grader in Spain seeks a Senior/Staff Computer Vision Engineer to lead the development of robust CV systems from research to production.

You will design ML models for object detection, segmentation and classification, and mentor engineers while using Python and Java to deliver reliable software at scale. The role blends research with practical engineering in a startup-like environment.

Formación

• 5+ years of experience in industry in Classical Computer Vision and Machine Learning, with a track record of shipping CV systems to production.
• Strong programming experience in Python and Java.
• Experience translating research results into production-ready software.

Responsabilidades

• Design and develop reliable ML models for object detection, segmentation, and classification end-to-end.
• Research and implement robust computer vision and numerical algorithms.
• Architect and build production-ready CV software systems and microservices.
• Develop dashboards to monitor component performance and production systems.
• Mentor engineers and influence the technical roadmap.
• Drive interdisciplinary, innovative development within a startup-style team.

Conocimientos

Python

Java

Machine Learning

Computer Vision

Data Analysis

Herramientas

OpenCV

Descripción del empleo

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 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
• 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)