Computer Vision Engineer

FORDAQ; Vitoria; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A technology company in the wood industry is seeking a talented Computer Vision Researcher to improve products through advanced research and Machine Learning models. The ideal candidate should have a PhD or relevant experience, a strong understanding of deep learning, and the ability to work with large datasets. This is a unique opportunity to make an impact in a casual, innovative, and client-driven environment.

Servicios

Training and knowledge transfer sessions

Casual working environment

Flexible working hours

Bonuses and attractive salary package

Private medical assurance

Gym membership discount

Support for exams and certifications

Flexible vacation days

Formación

• Experience in Classical Computer Vision and Machine Learning.
• Hands-on experience with large datasets.
• Ability to draw data-driven conclusions.

Responsabilidades

• Research classical computer vision and optimization algorithms.
• Develop Machine Learning models for object detection.
• Design methods for building qualitative datasets.

Conocimientos

Classical Computer Vision

Machine Learning

Statistical inference

Python programming

Java programming

Tensorflow

PyTorch

Educación

PhD in a STEM field

3+ years in a research position

Descripción del empleo

We are seeking a talented Computer Vision Researcher to join our team.

As a Computer Vision Expert, you will have the following responsibilities and challenges :

• Research : Study and apply classical computer vision and optimization algorithms to improve system components
• Develop : Create reliable and efficient Machine Learning models for object detection, segmentation, and classification
• Design : Devise intelligent methods for building relevant and qualitative datasets
• Solve : Apply state-of-the-art methods to address unique challenges in the wood industry
• Scale : Enhance the scalability of ML solutions
• Innovate : Develop accurate and efficient 3D modeling techniques using stereo vision, structured light, and ML

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.

A typical candidate would

• have experience in Classical Computer Vision and Machine Learning
• have experience working with large datasets
• draw data‑driven conclusions using statistical inference
• have programming experience in Python and Java
• have hands‑on experience with Tensorflow or PyTorch
• be self‑driven and able to independently carry a task to completion
• be pragmatic and goal‑oriented

The ideal candidate would

• have a PhD in a STEM field or 3‑year experience in a research position in the industry
• have an advanced understanding of deep learning techniques applied to computer vision problems
• enjoy reading the latest academic papers in the field
• have implemented computer vision algorithms in an industrial setting (wood industry would be perfect)
• thrive in a client‑driven research environment that requires perseverance and creative 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
• flexible working hours
• bonuses and attractive salary package
• private medical assurance
• Bookster membership
• fresh fruits & snacks in the office
• gym membership discount (World Class Fitness)
• working in an international / multicultural team
• support for exams and certifications for professional growth
• smart people all around, and real technical challenges
• proximity to the metro station (Victoriei - 2 min walk)
• extra perks (Between 21 and 25 vacation days, days off for special or unexpected events)

Interested in applying?

Send your CV together with a few introductory words about yourself!