Senior / Staff Computer Vision Engineer

Neural Grader

País Vasco

Presencial

EUR 70.000 - 100.000

Jornada completa

Hace 8 días
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Descripción de la vacante

Neural Grader is seeking a Senior/Staff Computer Vision Engineer to lead the design and productionization of CV/ML systems for industrial clients. You will own end-to-end model development, from research to deployment, and shape the technical roadmap with a focus on robustness and maintainability.

The role requires 5+ years in CV/ML, strong Python and Java skills, and the ability to mentor engineers and drive projects to completion in a fast-paced, startup-like environment.

Formación

  • 5+ years of experience in CV/ML with production-grade CV systems.
  • Experience in industrial research and translating research results into products.
  • Experience building and architecting software systems.
  • Experience with vibe coding.
  • Experience leading projects and mentoring engineers.
  • Data-driven conclusions using statistical inference.
  • Strong programming experience in Python and Java.
  • Self-driven and able to carry complex, ambiguous projects to completion.
  • Pragmatic and goal-oriented.

Responsabilidades

  • Design and develop reliable, scalable CV/ML models for object detection, segmentation, and classification from research to production.
  • Drive research into state-of-the-art solutions to enhance robustness to OOD data and shape technical direction.
  • Research, implement, and optimize CV and numerical algorithms to build/upgrade system components.
  • Architect and build CV software systems, from microservices to rapid prototypes, setting engineering standards.
  • Apply statistical methods and visualize data to monitor component and system performance.
  • Pursue innovative approaches (Vibe Coding) ensuring robustness and maintainability.
  • Mentor engineers, review research solutions and code, influence the product technical roadmap.

Conocimientos

Python
Java
Project leadership

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
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)
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